Advanced neural network-based model for predicting court decisions on child custody.

Predicting court rulings has gained attention over the past years. The court rulings are among the most important documents in all legal systems, profoundly impacting the lives of the children in case of divorce or separation. It is evident from literature that Natural language processing (NLP) and machine learning (ML) are widely used in the prediction of court rulings.

Middle-grade led Expedited Gall bladder lists: Is it safe and feasible?

Introduction: Gallstone-related acute admissions account for a significant percentage of acute general surgery admissions. Providing a dedicated expedited gall bladder list service to deal with these cases appears to be not only clinically effective but also cost-effective. There are various logistical reasons why hospitals are unable to provide such dedicated lists, inadequate surgical staff being one of them.

A Dynamic Trust evaluation and update model using advance decision tree for underwater Wireless Sensor Networks.

Underwater wireless sensor networks (UWSNs) are an emerging research area that is rapidly gaining popularity. However, it has several challenges, including security, node mobility, limited bandwidth, and high error rates. Traditional trust models fail to adapt to the dynamic underwater environment.

Efficient prediction of anticancer peptides through deep learning.

Background: Cancer remains one of the leading causes of mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements in bioinformatics and machine learning, particularly deep learning, offer promising new avenues for cancer treatment through the prediction and identification of anticancer peptides.

Objective: This study aimed to develop and evaluate a deep learning model utilizing a two-dimensional convolutional neural network (2D CNN) to enhance the prediction accuracy of anticancer peptides, addressing the complexities and limitations of current prediction methods.

Extended dipeptide composition framework for accurate identification of anticancer peptides.

The identification of anticancer peptides (ACPs) is crucial, especially in the development of peptide-based cancer therapy. The classical models such as Split Amino Acid Composition (SAAC) and Pseudo Amino Acid Composition (PseAAC) lack the incorporation of feature representation. These advancements improve the predictive accuracy and efficiency of ACP identification.

Robust and facile detection of formaldehyde through transition metals doped olympicene sensors: a step forward DFT investigation.

Formaldehyde, a volatile organic compound (VOC) released by building and decoration materials, has many applications in the chemical feedstock industry. Excessive release of formaldehyde can cause serious health issues, such as chest tightness, cough, cancer, and tissue damage. Therefore, detection of formaldehyde is required.

Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network.

Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafted features with convolutional neural networks (CNNs) to enhance the performance of brain tumor segmentation. In this study, handcrafted features were extracted from MRI scans that included intensity-based, texture-based, and shape-based features.

Transition Metal Sensing with Nitrogenated Holey Graphene: A First-Principles Investigation.

The toxicity of transition metals, including copper(II), manganese(II), iron(II), zinc(II), hexavalent chromium, and cobalt(II), at elevated concentrations presents a significant threat to living organisms. Thus, the development of efficient sensors capable of detecting these metals is of utmost importance. This study explores the utilization of two-dimensional nitrogenated holey graphene (CN) nanosheet as a sensor for toxic transition metals.

Emergency esophagectomy: Experience of a high volume esophageal cancer center.

Objective: The objective of the study was to review the experience of dealing oncological emergency esophagectomies at a dedicated Cancer hospital.

Methods: We performed a retrospective review of data of eleven esophagectomies at the Department of Surgical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore (SKMCH&RC) Pakistan, from 1 January, 2009 to 30 June, 2019. Out of 590 oncological esophagectomies, eleven patients had emergency resection.

Adsorption of Industrial Gases (CH, CO, and CO) on Olympicene: A DFT and CCSD(T) Investigation.

Olympicene CH, an organic semiconductor, is investigated as an adsorption material for toxic industrial gas molecules such as CH, CO, and CO. A deep insight of complexation of CH, CO, and CO with olympicene (analyte@OLY) was obtained by interaction energy, symmetry-adopted perturbation theory (SAPT2+), quantum theory of atoms in molecules (QTAIM), density of states (DOS), noncovalent interaction (NCI), and frontier molecular orbital and natural bond orbital analysis. Domain-based local pair natural orbital coupled cluster theory single-point energy calculations were performed using the cc-pVTZ basis set in combination with corresponding auxiliary cc-pVTZ/JK and cc-pVTZ/C basis sets.

Mulching impact of Jatropha curcas L. leaves on soil fertility and yield of wheat under water stress.

In present studies we have evaluated mulching impact of Jatropha curcas leaves on soil health and yield of two wheat (Triticum aestivum L.) varieties Wadan-2017 (rainfed) and Pirsabak-2013 (irrigated) under imposed water stress. Mulch of Jatropha leaves was spread on the soil surface at the rate of 0, 1, 3 and 5 Mg ha after seed germination of wheat.

Deep GRU-CNN Model for COVID-19 Detection From Chest X-Rays Data.

In the current era, data is growing exponentially due to advancements in smart devices. Data scientists apply a variety of learning-based techniques to identify underlying patterns in the medical data to address various health-related issues. In this context, automated disease detection has now become a central concern in medical science.

Inclusive DFT insight into sensing mechanism of cyclotetrapyrole towards lung irritants.

The development of smart sensing devices for toxic analytes detection especially lung irritants is much essential. The cyclic conducting polymers having infinite π-conjugation are proved to be highly sensitive for toxic analytes. Herein, by using the DFT approach, we investigated the sensing mechanism of cyclotetrapyrole (CTPy) for accurate detection of phosgene, diphosgene, chloropicrin and chlorine at the B3LYP-D3/6-31 + G (d, p) level.

Characterization of functional genes GS3 and GW2 and their effect on the grain size of various landraces of rice (Oryza sativa).

Background: Grain size is an essential factor of grain quality and yield in rice. The genetic studies have substantially contributed to enhancing yield and maintaining a good quality of rice. The two major genes GS3 (a negative regulator of grain length) and GW2 (a negative regulator of grain width) with functional mutation play a significant role in controlling the grain size of rice.

Environmental sustainability assessment of biodiesel production from Jatropha curcas L. seeds oil in Pakistan.

According to IPCC Annual Report (AR-5), environmental impact assessment of any product prototype is recommended before its large-scale commercialization; however, no environmental profile analysis of any biodiesel prototype has been conducted in Pakistan. Therefore, objective of this study was to conduct a comprehensive life cycle assessment (LCA), water footprint and cumulative energy demand (CED) of biodiesel production from Jatropha curcas L. (JC) seeds oil in Pakistan.

Demonstrating the Potential of Alkali Metal-Doped Cyclic COLi Organometallics as Electrides and High-Performance NLO Materials.

In this report, the geometric and electronic properties and static and dynamic hyperpolarizabilities of alkali metal-doped COLi organometallics are analyzed via density functional theory methods. The thermal stability of the considered complexes is examined through interaction energy ( ) calculations. Doping of alkali metal derives diffuse excess electrons, which generate the electride characteristics in the respective systems (electrons@complexant, e@M@COLi M = Li, Na, and K).

Antimicrobial, antioxidant and cytotoxic properties of Chenopodium glaucum L.

We evaluated phytochemical composition, antibacterial, antifungal, anti-oxidant and cytotoxic properties of aqueous (water) and organic extracts (methanol, ethyl acetate and n-hexane) of Chenopodium glaucum. Highest phenolic content 45 mg gallic acid equivalents (GAE)/g d.w was found in aqueous extract followed by ethyl acetate (41mg GAE/g d.

Evaluation of Jatropha curcas L. leaves mulching on wheat growth and biochemical attributes under water stress.

Background: Organic mulches are widely used in crop production systems. Due to their benefits in improving soil fertility, retention of soil moisture and weed control. Field experiments were conducted during wheat growing seasons of 2018-2019 and 2019-2020 to evaluate the effects of Jatropha leaves mulch on the growth of wheat varieties 'Wadan-17' (rainfed) and 'Pirsabaq-2013' (irrigated) under well irrigated and water stress conditions (non-irrigated maintaining 40% soil field capacity).

Chronic exposure of bisphenol S (BPS) affect hypothalamic-pituitary-testicular activities in adult male rats: possible in estrogenic mode of action.

Background: The industrial revolution has resulted in increased synthesis and the introduction of a variety of compounds into the environment and their potentially hazardous effects have been observed in the biota. The present study was aimed to evaluate the potential endocrine-disrupting effects of chronic exposure to the low concentrations of bisphenol S (BPS) in male rats.

Methods: Weaning male Sprague-Dawley rats (22 days old) were either exposed to water containing 0.

Remarkable static and dynamic NLO response of alkali and superalkali doped macrocyclic [hexa-]thiophene complexes; a DFT approach.

In this study, the nonlinear optical (NLO) response of alkali metal atom (Li, Na and K) and their corresponding superalkali (LiO, NaO and KO) doped six membered cyclic thiophene (6CT) has been explored. The optimized geometries of complexes; Li@6CT, Na@6CT, K@6CT, LiO@6CT, NaO@6CT and KO@6CT depict that the superalkalis and alkali metals interact through the active cavity of 6CT. Interaction energies reveal that superalkalis have higher interaction with 6CT than alkali metals.

Spontaneous Perforation Of Meckel's Diverticulum Presenting With Generalized Peritonitis.

Meckel's diverticulum is the most common congenital anomaly of the GIT with a low incidence of 2% and the complication rate is even lower with perforation being the rarest. We report an intriguing case of a 15-year-old male, who presented with one-week history of high-grade fever and diarrhoea followed by acute onset of abdominal pain in the periumbilical region which became generalized. On physical examination his abdomen was distended with guarding and rigidity.

Clinicopathological Characteristics and Short-Term Survival Analyses of Cutaneous Malignant Melanoma.

Objective Cutaneous malignant melanoma (CMM) arises from melanocytes, which are pigment-producing cells in the skin. CMM constitutes less than 5% of all cutaneous malignancies worldwide but is associated with the highest mortality rate among all skin cancers. The objective of this study was to examine the profile of clinicopathological factors, survival analyses, recurrence rate, metastatic rates, and the management of CMM at Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC) in Lahore, Pakistan.

Synchronous Primary Endometrial and Ovarian Cancers: Trends and Outcomes of the Rare Disease at a South Asian Tertiary Care Cancer Center.

Background and objective The incidence of synchronous primary endometrial and ovarian cancer is uncommon and poses a diagnostic challenge to the treating physician about their origin as either primary or metastasis. The purpose of this study was to evaluate the clinicopathological behavior, treatment modality-related outcomes, and prognosis related to primary endometrial and ovarian cancers at a tertiary care referral center in South Asia. Methods We retrospectively analyzed 30 patients with synchronous ovarian and endometrial cancers treated at Shaukat Khanum Memorial Cancer Hospital and Research Centre in Lahore, Pakistan from January 2005 to August 2017.

Malignant Melanoma of the Female Genital Tract: Experience of an Oncology Center in Pakistan.

Introduction Malignant melanoma, which arises from melanocytes or pigment cells, is one of the most common forms of epithelial cancer. Cutaneous and noncutaneous melanomas differ clinically and genetically. Mucosal melanomas are rare.