bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep Learning Based Identification and Interpretability Research of Traditional Village Heritage Value Elements: A case study in Hubei Province
Authors: TAN Gangyi , ZHU Jiangkun , CHEN Zhanxiang 
Published: February 2024

Abstract

The preservation and transmission of traditional villages is crucial to the prosperity and development of ethnic cultures. However, current traditional village surveys usually require a large number of experts and scholars to conduct field research, which is an expensive and time-consuming method, especially for large-scale tasks. Therefore, this study proposes an automatic classification method based on deep learning (DL) for the identification of traditional village heritage value elements (TVHVE). The study evaluates four selected convolutional neural network (CNN) frames using traditional villages in Hubei Province as a sample dataset. The results show that Residual Network152 (ResNet152) is the most suitable CNN frame for identifying TVHVE in Hubei. The stability and consistency of various TVHVE present in the ResNet152 model were evaluated using Area Under Curve (AUC) and Precision Recall Curve (PRC), which indicated satisfactory prediction performance for most elements, except for specific elements such as tombstones and stone carvings, which showed lower accuracy. In addition, the study sheds light on the areas of concern of the model with respect to different TVHVE images and elucidates the reasons behind the confusion between elements through semantic clustering based on image classification and interpretability analysis using the Gradient-Weighted Class Activation Mapping (Grad-CAM) heat map. By using an automated classification method based on DL, this study significantly reduces the cost and effort associated with traditional surveys. At the same time, insight into areas of concern and confusion in the model improves guidance for conservation efforts and provides valuable references for subsequent research.
The effect of vortex beam on controlling the optical bistability in graphene quantum dots
Authors: Gharamaleki Ali Hamrah , Kevin Saeideh 
Published: February 2024

Abstract

We theoretically investigate optical bistability (OB) and optical multistability (OM) in a three-level cascade-type graphene quantum dot system placed in a Fabry-Perot cavity. The results obtained demonstrate that the OB intensity threshold can be controlled by the intensity and detuning of the driving field. Furthermore, since the three applied fields create a closed-loop system, their relative phase is utilized to manipulate OB and OM. The applied coupling field is assumed to be a vortex beam which provides two additional parameters for controlling OB. Our findings reveal that the OB intensity threshold is sensitive to the orbital angular momentum and azimuthal phase of the coupling vortex beam.
An novel circuit board fault diagnosis network using infrared thermal image
Authors: Xudong Song , liu chao , Yi Weiguo 
Published: February 2024

Abstract
In practical industrial applications, infrared thermography fault diagnosis has received widespread attention. In order to detect the internal component faults of circuit boards, this paper proposes an novel circuit board fault diagnosis network using infrared thermal image.Firstly, a network LGC-Net network is proposed to improve ResNet50, and a two-layer attention module and a channel feature extraction module are introduced into the ResNet50 network, which strengthens the network's ability to extract global features and improves the model's extraction of features such as multi-scale key detail features of the input feature maps and the target contour, etc. Optimization of the residual structure and model pre-training plus fine-tuning are used for the Diagnostic model construction, so that the accuracy of fault diagnosis has been greatly improved. Finally, the acquired board infrared thermography dataset is preprocessed and experimented with a diagnostic fault network Experiments show that the LGC-Net network proposed in this paper has a fault diagnosis accuracy of 98.92%, which is 1.9% higher than the optimal accuracy of the classical network fault diagnosis, while the diagnosis time of a single infrared thermography is 246ms, which is 299ms lower than the shortest time consumed by other models for diagnosis.The experimental results show that the method proposed in this paper is able to efficiently identify infrared thermography faults of circuit board components, to improve the accuracy of circuit board fault diagnosis.
Investigation of cholinesterase and α-glucosidase enzyme activities, and molecular docking and dft studies for 1,2-disubstituted cyclopentane derivatives with phenyl and benzyl units
Authors: Artunç Tekin , Çetinkaya Yasin , Taslimi Parham , Menzek Abdullah 
Published: February 2024

Abstract
Six known products were prepared from reaction of adipoyl chloride with 1,2,3-trimethoxyphenyl according to the literature. From one of them, four new 1,2-disubstituted cyclopentane derivatives with phenyl and benzyl units were synthesized by reactions such as hydrazonation, catalytic hydrogenation and bromination. The obtained compounds were examined for their in vitro inhibitory activity against acetylcholinesterase (AChE), α-glucosidase, and butyrylcholinesterase (BChE) enzymes. All compounds showed inhibition at nanomolar level with Ki values in the range of 45.53 ± 7.35-631.96 ± 18.88 nM for AChE, 84.30 ± 9.92–622.10 ± 35.14 nM for BChE, and 25.47 ± 4.46–48.87 ± 7.33 for α-Glu. In silico molecular docking studies of the potent compounds were performed in the active sites of AChE (PDB: 1E66), BChE (PDB: 1P0I), and α-glucosidase (PDB: 5ZCC) to compare the effect of bromine atom on the inhibition mechanism. The optimized molecular structures, HOMO-LUMO energies and molecular electrostatic potential maps for the compounds were calculated by using density functional theory with B3LYP/6–31 + G(d,p) and investigated.
Analysis of the burden of autism spectrum disorders in adolescent’s worldwide from 1990 to 2019
Authors: Liu Zhuoqiong , Liu Yangyang , Yang Jiaxin , Yan Liru , Li Qiushi , Gao Ying 
Published: February 2024

Abstract
Purpose
To analyze the burden of autism spectrum disorders (ASDs) worldwide and its change trends from 1990 to 2019.
Methods
The adolescent’s (aged 10–24 years) ASD burdens were quantified in terms of age-standardized incidence rate (ASIR), age-standardized disability-adjusted life years (DALYs) rate, and their corresponding estimated annual percentage changes (EAPCs).
Result
From 1990 to 2019, the ASIR of ASDs trended upward. In high-Socio-demographic Index (SDI) regions, the burden of ASDs was highest and increased much more than in other areas (EAPC in the age-standardized DALYs = 0.32; EAPC in the ASIR = 0.36). From 1990 to 2019, the age-standardized DALYs due to ASDs increased the most in High-income Asia Pacific (EAPC = 0.09), East Asia (EAPC = 0.22), and High-income North America (EAPC = 0.79); the ASIR of ASDs increased the most in Southern Latin America (EAPC = 0.10), High-income Asia Pacific (EAPC = 0.11), and High-income North America (EAPC = 0.80); and the ASIR and age-standardized DALYs due to ASDs increased the most in the USA (EAPC = 0.87 and 0.86, respectively).
Conclusion
From 1990 to 2019, the burden of ASDs continually increased globally, but there were significant differences in the burden between regions and countries.
Evaluation and Assessment of Teaching Quality and Students’ Performance using Machine Learning
Authors: Chakrabarti Samiddha , De Parthasarathi 
Published: February 2024

Abstract

In quality education, we except good teaching. To improve the academic performance of a student it is important to monitor the students’ activities and attentiveness. The traditional way to do that is Examination and regular counselling; But an exam can’t conclude overall academic performance of a student, counselling is not enough to estimate the difficulties that students are facing in classroom, the level of attention of students in classroom and the favorite subjects of the students. And it’s also important to monitor the teachers’ teaching quality. In this work we proposed an AI model, by which we can analysis the students’ emotion, activities and attentiveness in the classroom with the help of high-resolution configured camera in the classroom. The model detects the facial expressions of each student in classroom to recognize the emotion of each student; and detect the eyes, lips and head movement of each student to recognize the activities of the students. And analyze these recognized activities for each student to classify the attentiveness status (attentive or inattentive) of each student. And an overall activities and emotion of all the students will be analyzed to evaluate the teacher’s teaching quality at the class – If most of the students are inattentive or not happy, means the teacher’s teaching methods is not helping the students and vice versa. The proposed machine leaning model not only analyze performance of the student and teaching method, it also alerts the teachers about the unwanted activities of the student in the classroom in real-time.
Multilevel and multicomponent intervention to promote colorectal cancer screening among underserved Vietnamese Americans: A cluster randomized trial
Authors: Ma Grace X. , Zhu Lin , Tan Yin , Do Phuong , Guerrier Guercie , Wang Min Qi , Nguyen Minhhuyen , Tran Tam , Pham Philip 
Published: February 2024

Abstract
Purpose The fecal immunochemical test (FIT) is a non-invasive method for colorectal cancer (CRC) screening, particularly effective in underserved Vietnamese American communities with low screening rates. This study reports on a culturally tailored multilevel intervention, incorporating FIT, aimed at increasing CRC screening among these populations aged 50 or above in the Greater Philadelphia metropolitan area.
MethodsFrom 2017 to 2020, we conducted a two-arm cluster randomized controlled trial to test the efficacy of a culturally tailored, multicomponent multilevel intervention aimed at increasing CRC screening uptake via enhanced self-awareness and self-efficacy, improved access to care, and changes in social norms and removal of stigma. The intervention group received multicomponent, multilevel CRC intervention including provision of a FIT self-sampling kit, with intervention approaches informed by the Centers for Disease Control's Clinical Preventive Services (CPS) Guidelines for adults 50+. The control group received only the CPS education.
ResultsThe study sample consisted of 746 eligible Vietnamese American participants recruited from 20 community-based organizations, with 95% having limited English proficiency. At 12-month follow-up, the intervention group showed substantially higher rates of FIT completion (89.56% vs. 7.59%, p < .001) and any CRC testing (91.48% vs. 42.41%, p < .001) compared to the control group.
Conclusion The results suggest that the community-based, culturally-tailored multilevel intervention, which incorporates with FIT self-testing, effectively enhances CRC screening among low-income Vietnamese Americans. Additionally, these results underscore the significance of community-oriented strategies, like collaborating with relevant community-based organizations, in achieving CRC screening targets.
Graphene oxide enhanced nanocellulose/chitosan biodegradable aerogel pad for fresh pork preservation
Authors: Zhang Ning , Xu Xiaokang , Zhang Simiao , Zhou Mei , Huang Yutong , Sun Weiqing , Ma Jing , Wu Lifeng 
Published: February 2024

Abstract

This study aimed to to prepare a degradable bacteriostatic aerogel pad that can absorb pork exudate extension for long pork shelf life. The addition of Graphene oxide(GO) was used to improve the bacteriostatic and mechanical characteristics of nanocellulose(CNC) and chitosan(CTS) matrix materials, and the bacteriostatic aerogel was obtained by freeze-drying technique. The results showed that when GO concentration was 0.4wt%, the antibacterial aerogel network had uniform structure, good mechanical properties and water/oil adsorption, and exhibited effective growth and reproduction inhibition against Escherichia coli and Staphylococcus aureus. Under the condition of 4℃, the bacteriostatic aerogel with 0.4wt% GO could be used as the packaging pad of fresh pork, absorbed the juice oozed during the storage process of pork, prolonged the fresh pork's shelf life and postponed the color, pH, and TVB-N changes.
Experimental Investigation of Tribological Properties for Enhancement of Engine oil with addition of Nanoparticles Additives
Authors: Aher Amrut Sahebrao , Pandey Vijay Kumar 
Published: February 2024

Abstract
Oil was polluted by adding an added substance in the motor oil to further develop its oil properties to lessen wear and contact of the motor. In present paper, tribological examinations will be performed on lubricating oil containing Zinc Dialkyldithiophosphate (ZDDP), Molybdenum Disulphide (MoS2), and Tungsten Disulfide (WS2) particles and their consolidated impact to explore the tribological execution of the ointment. In the current review ten unique blends of mineral oil and added substances were examined. To accomplish homogeneous blending, it is mixed attractively over an attractive stirrer keeping up with steady temperature. Utilizing the 4 Ball Wear design might be utilized to compute the wear scar attributes and mineral oil's coefficient of grating. Also, the coefficient of grating and wear scar breadth for the H blend were outstandingly lower contrasted with the reference lubricating oill (SAE 15W40). As per ASTM D-4172 (mineral oils setups), a steel ball is turned against three fixed steel balls that have been lubricated a specific load, speed, temperature, and time in the 4-Ball Wear test. The exhaustive examination of these properties recommends that the SAE 15W40 mineral oil with the predefined added substances, especially in the H mix, could offer enhanced lubrication performance compared to regular mineral oil.
Multimodal Attention-Based Feature Fusion for Short Video Classification
Authors: Sinclair Calderon , Callahan Ambrose , Everly Sullivan , Beckett Jessamine 
Published: February 2024

Abstract
In recent times, Short videos have emerged as a prevailing trend in social networks, prompting the rise of dedicated Short video social applications and a steady surge in Short video creation. Key attributes of Short videos encompass their concise length, rapid dissemination, straightforward production, broad category spectrum, and active user participation and interaction. In contrast to conventional videos, Short videos face a scarcity of dedicated datasets, and academic exploration into Short video content recognition remains limited. Short videos possess distinctive features necessitating specialized model design. While existing models leverage Short video datasets for training, the underlying model structures often adhere to generic architectures commonly employed in the broader field of behavior recognition. This highlights a substantial research gap in the realm of Short video content recognition, calling for the development of models tailored to the unique attributes of Short videos. The potential for innovation and exploration in this domain is significant, as existing models predominantly focus on specific tasks without fully harnessing the inherent characteristics of Short videos. Therefore, ample research opportunities exist to advance the field of Short video content recognition. This paper focuses on several key research objectives. Firstly, it delves into the exploration of extraction methods for visual, audio, and text features within videos. With the aim of addressing video classification tasks, a novel combinatorial network model is introduced. This model adeptly combines discrete features from each modality into comprehensive features across diverse modalities through the network.
The Effects of Burnout in Female Higher Education Administrators
Authors: Bradshaw Molly , Bruce Jacklyn , McKee Katherine , Orders Amy , Sutton Rhonda , Dunn Carolyn 
Published: February 2024

This research explored the phenomenon of femaleness and how it impacts the experiences of women in higher education administration, specifically in colleges of agriculture, and how these experiences contributed to burnout, compassion fatigue, and job satisfaction. Despite representing more than half of the college-educated workforce, women are not represented equally within leadership positions in higher education. In academia, women faculty numbers have improved over the past several decades, representing 52.9% of assistant professor positions (Women in Academia: Quick Take, 2020). Higher education was initially intended only for men (Bystydzienski & Bird, 2006) and therefore valued men in higher-level positions (Bird, 2011; Trower, 2012). This has led to the creation of a culture where women and minorities are underrepresented and face multiple barriers (Bird, 2011). Having an inequitable distribution of power not only in organizations but within society suggests that women will need to traverse a different, more challenging path than their male counterparts to arrive at the same tier of status.

Keywords: burnout, compassion fatigue, higher education, women administrators, women leaders in agriculture, stress, gender roles, coping with stress
Kualitas Puding dengan Campuran Daun Kelor
Authors: Prianata I Kadek Sugama , Aprinica Ni Putu Isha 
Published: February 2024

Tujuan dari penelitian pembuatan puding dengan campuran daun kelor dalah untuk mengetahui kualitas rasa, aroma, tekstur, warna, dan minat konsumen puding dengan campuran daun kelor, kemudian untuk mengetahui biaya produksi pembuatan puding dengan campuran daun kelor serta untuk mengetahui minat konsumen terhadap puding dengan campuran daun kelor. Pendekatan penelitian yang digunakan adalah penelitian eksperimen, penelitian eksperimen ini dilakukan dengan membuat puding dengan campuran daun kelor, kemudian diuji oleh 35 panelis dengan tes organoleptik, observasi, analisis biaya serta mengetahui minat konsumen. Hasil penelitian ini berupa kualitas pembuatan puding dengan campuran daun kelor adalah sangat enak dari segi rasa, beraroma sangat harum, tekstur yang kenyal,serta memiliki penampilan yang sangat menarik. Dari hasil uji P1 biaya yang diperlukan dalam pembuatan pudding dengan campuran daun kelor membutuhkan biaya Rp. 2.550,- untuk 1 cup pudingnya.

The purpose of the research on making pudding with a mixture of Moringa leaves is to find out the quality of taste, aroma, texture, color, and interest of pudding consumers with Moringa leaf mixture, then to find out the production cost of making pudding with Moringa leaf mixture and to find out consumer interest in pudding with Moringa leaf mixture. The research approach used is experimental research, this experimental research was carried out by making pudding with a mixture of Moringa leaves, then tested by 35 panelists with organoleptic tests, observation, cost analysis and knowing consumer interest. The results of this study in the form of the quality of making pudding with a mixture of Moringa leaves are very tasty in terms of taste, very fragrant aroma, chewy texture, and have a very attractive appearance. From the results of the P1 test, the cost required in making pudding with a mixture of Moringa leaves requires a cost of Rp. 2,550, - for 1 cup of pudding.
Kualitas Kue Putri Ayu Berbahan Dasar Tepung Sukun
Authors: Wiguna Made Aditya Putra , Sudarmawan I Wayan Eka 
Published: February 2024

Tujuan penelitian ini dilakukan untuk mengetahui kualitas Kue Putri Ayu berbahan dasar tepung sukun. Penelitian ini bersifat kuantitatif karena hasil yang didapatkan berbentuk angka dan data yang didapatkan langsung dari sumbernya, dicatat, diamati kemudian diolah untuk menjawab permasalahan. Data dalam penelitian ini menggunakan instrument test penelitian. Hasil dari penelitian pembuatan Kue Putri Ayu berbahan dasar tepung sukun P1 = 50% tepung sukundan 50% Tepung Terigu dari recipe Putri Ayu pada umumnya indikator rasa dengan kriteria sangat enak, indikator tekstur dengan kriteria lembut, indikator aroma dengan kriteria sangat sedap, indikator warna dengan kriteria menarik. Dan P2 = 100% tepung sukun dari recipe Putri Ayu pada umumnya indikator rasa dengan kriteria sangat enak, indikator tekstur dengan kriteria lembut, indikator aroma dengan kriteria sangat sedap, indikator warna dengan kriteria menarik. P3 = 100% Tepung Terigu dari recipe Putri Ayu pada umumnya indikator rasa dengan kriteria sangat enak, indikator tekstur dengan kriteria lembut, indikator aroma dengan kriteria sangat sedap, indikator warna dengan kriteria menarik. Simpulan dari penelitian ini adalah, produk P2 = 100% dengan bahan dasar tepung sukun memiliki kualitas, rasa, aroma, dan kemasan yang yang lebih enak, menarik dan lebih banyak diminati oleh konsumen meskipun Kue Putri Ayu berbahan dasar tepung sukun pertama kali mereka temui dan mencoba rasanya.

The purpose of this study was to determine the quality of Putri Ayu Cake made from breadfruit flour. This research is quantitative because the results obtained are in the form of numbers and data obtained directly from the source, recorded, observed and then processed to answer problems. The data in this study used a research test instrument. The results of the research on making Putri Ayu Cake made from breadfruit flour P1 = 50% breadfruit flour 50% Wheat Flour from Putri Ayu's recipe generally taste indicators with very good criteria, texture indicators with soft criteria, aroma indicators with very tasty criteria, color indicators with criteria interesting criteria. And P2 = 100% breadfruit flour from Putri Ayu's recipe in general, a taste indicator with very good criteria, texture indicator with soft criteria, aroma indicator with very tasty criteria, color indicator with attractive criteria. P3 = 100% Wheat Flour from Putri Ayu's recipe in general, a taste indicator with very good criteria, texture indicator with soft criteria, aroma indicator with very tasty criteria, color indicator with attractive criteria. The conclusion of this research is that the product P2 = 100% with breadfruit flour has better quality, taste, aroma, and packaging which is more attractive to consumers, even though Putri Ayu Cake is made from breadfruit flour for the first time they met and try the taste
Desafíos sobre el estatus jurídico de los animales exóticos, introducidos o invasores en Colombia
Authors: Santacruz Ordoñez Diana Marcela , Alzate Castrillón Maria Camila 
Published: February 2024

El desarrollo histórico y normativo en Colombia sobre el trato y protección de los animales ha resultado en un cambio de paradigma. Su consideración como bienes muebles, ha evolucionado, a partir del Código Civil Colombiano, para reconocerles como seres sintientes. Esta distinción se reflejada, además, en la jurisprudencia tanto del Consejo de Estado como de la Corte Constitucional. En este sentido, una de las discusiones contemporáneas sobre la protección animal es el tratamiento e impacto sobre el territorio colombiano de los animales invasores, introducidos y exóticos, ya que, al tratarse de especies que no son nativas, afectan ineludiblemente la fauna del país. Este aspecto exige que el Estado deba enfrentarse a los desafíos de reconocimiento de su estatus. De este modo, este texto pretende identificar cómo se desenvuelve normativa y jurisprudencialmente el tratamiento de esta tipología de animales en el territorio colombiano.