Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. …”
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Deep Learning Based Breast Cancer Detection Using Decision Fusion by Doğu Manalı, Hasan Demirel, Alaa Eleyan

“…Breast cancer, which has the highest mortality and morbidity rates among diseases affecting women, poses a significant threat to their lives and health. …”
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Numerical Determination Of Cooling Performance On Heat Sink Using Impingement Jet by Rami Abdulraheem Abdulrezzaq Al-anı, Altuğ Karabey

“…In this method, significant heat transfer rates are achieved. The present study examined the cooling performance of the fin pairs, which are aligned in a consecutively enlarging-contracting pattern and have a rectangular geometry, on a heat sink. …”
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A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

“…The findings indicate that the CNN model consistently outperformed classical learning methods, achieving accuracy rates of 99.5%, 98.50%, and 97.0% for 2-class, 6-class, and 10-class classifications, respectively. …”
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MULTINATIONAL COMPANIES FOR BUSINESS INTERNATIONALIZATION THROUGH FOREIGN DIRECT INVESTMENT (FDI) IN GLOBALIZATION: TRENDS FOR VALUES by Anis BENABED

“…Multinational companies that go for foreign direct investment have an economic impact and can affect a country's economy in various ways, for example, in the balance of payments, in growth rates and in job creation. The effect of foreign direct investment by multinational companies can be negative or positive depending on certain factors. …”
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The role of the ventral striatum in the relationship between impulsive decision-making and emotional self-regulation by cognitive reappraisal by Youngwoo Bryan Yoon, Wi Hoon Jung

“…Our data revealed that greater use of cognitive reappraisal as an emotion regulation strategy was significantly associated with lower DD rates (i.e., reduced temporal impulsivity). No such relationship was found for expressive suppression. …”
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Dramatic Decoupling Between Population and Construction Land in Rural China by Jiatong Han, Minghong Tan

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Dravet Syndrome: A Rare Form of Epilepsy by Salwa Al Hosani, Sona Varghese

“…It is characterized by diverse seizure patterns, cognitive regression, motor impairments, and behavioral abnormalities. …”
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Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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Measurement of food sensitivity with special reference to food properties in children with autism spectrum disorder by Rameen Sameer, Beenish Israr, Aqsa Inam, Hafiza Kinza Javed

“…The Childhood Autism Rating Scale (CARS) was used to assess behavioral responses and food acceptance. …”
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Presentation time shapes perceived room size in visual and auditory modalities by Johanna Bogon, Cindy Jagorska, Ella Maria Heinz, Martin Riemer

“…As time judgments were consistently rated as more difficult relative to space judgments, this pattern of interference cannot be explained on the basis of task difficulty. …”
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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. …”
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Color characteristics and psychological healing effects in Rokuon-ji Temple Garden: a quantitative analysis by Jinyang Wang, Yoichi Kunii

“…From an initial collection of 150 photographs documenting the garden’s complete visitor experience, 42 landscape photographs were systematically selected based on healing quality ratings (mean ≥5.0, median ≥5.0, standard deviation <1.2) and analyzed for six color categories (red, yellow, brown, gray, white, green) using three quantitative metrics: fractal dimension, diversity index, and concentration index. …”
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Socio-Demographic Factors and Health-Oriented Behaviors of University Students in the Podkarpackie Region. Long-Term Prospective Research by Paweł Więch, Dariusz Bazaliński, Zdzisława Chmiel, Józef Ratajczyk, Paweł Januszewicz, Monika Binkowska-Bury

“…It was conducted in 2009 and repeated two years later. The rating of the behavior patterns of students was conducted in accordance with the following schedule: October 2009 – January 2010 (T1), October 2011 – January 2012 (T2). …”
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LLM based expert AI agent for mission operation management by Sobhana Mummaneni, Syama Sameera Gudipati, Satwik Panda

“…AI offers opportunities to reduce mission costs, improve success rates, and enhance the efficiency of space exploration programs. …”
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Exploring cognitive and emotional symptoms associated with hippocampal subfield atrophy in drug-induced Parkinsonism by Wei Zhou, MengYue Tang, Bo Cheng, Ling Sun, HongYu Lin, Yang Fan, Nian Liu, Shushan Zhang

“…This study explores hippocampal subfield volumes in DIP compared to Parkinson’s disease (PD) and healthy controls (HCs), investigating correlations with cognitive (Montreal Cognitive Assessment, MoCA), emotional (Hamilton Depression Rating Scale, HAMD; Hamilton Anxiety Rating Scale, HAMA), and motor (Unified Parkinson’s Disease Rating Scale, UPDRS) symptoms.MethodsA total of 19 DIP patients, 20 PD patients, and 20 HCs were enrolled. …”
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Video-assisted surgery in the treatment of early corpus uteri cancer by T. M. Kochoyan, D. V. Komov, R. A. Kerimov, S. Yu. Sletina, A. V. Logachev

“…Overall and relapse-free survival rates were comparable in the two groups and did not depend on the technique of surgical intervention.…”
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Decentralized Immunization Monitoring: Lessons Learnt from a Pilot Implementation in Kumbotso LGA, Kano State, Nigeria by Adam Attahiru, Yahaya Mohammed, Fiyidi Mikailu, Hyelshilni Waziri, Ndadilnasiya Endie Waziri, Mustapha Tukur, Bashir Sunusi, Mohammed Nasir Mahmoud, Nancy Vollmer, William Vargas, Yusuf Yusufari, Gustavo Corrêa, Heidi W. Reynolds, Teemar Fisseha, Talatu Buba Bello, Moreen Kamateeka, Adefisoye Oluwaseun Adewole, Musa Bello, Imam Wada Bello, Sulaiman Etamesor, Joseph J. Valadez, Patrick Nguku

“…To enable a better understanding of contextual factors towards increasing uptake, we piloted a Decentralized Immunization Monitoring (DIM) approach in the Kumbotso local government area (LGA) of Kano state, Nigeria, to identify wards with low vaccination rates and understand why this is happening. The findings were used to improve routine immunization (RI) programs and reduce the number of unvaccinated children and children yet to receive their first dose of diphtheria–pertussis–tetanus (DPT) vaccine, referred to as Zero-Dose children (ZD). …”
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Seasonal population dynamics and dietary switching of Vulpes spp. amplify Echinococcus spp. transmission in the Eastern Tibetan plateau: implications for wildlife-mediated zoonotic... by Xu Wang, Chuizhao Xue, Xueying Deng, Qilu Chen, Chunyang Li, Baixue Liu, Ying Wang, Yan Kui, Qingqiu Zuo, Jianhai Yin, Shuai Han, Yujuan Shen, Jianping Cao

“…This dietary diversification correlated with seasonal resource scarcity, driving foxes to exploit alternative prey. The infection rates of Echinococcus in V. ferrilata displayed the U-shaped seasonal patterns. …”
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Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model by Sara M. M. Abohashish, Hanan H. Amin, E. I. Elsedimy

“…Early detection and accurate diagnosis are crucial for improving the prognosis and survival rates of patients with melanoma. This paper presents a novel approach for the automatic identification of cutaneous lesions by integrating convolutional neural networks (CNNs) with long short-term memory (LSTM) networks. …”
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