bluuebunny/crossref_metadata_2025 huggingface dataset:
LITERATURE REVIEW: STAFF PERFORMANCE FACTORS RELATED TO INCOMPLETE MEDICAL RECORD DOCUMENTS IN PUBLIC HEALTH CENTER
Authors: Wijayanti Rossalina Adi , Lestari Melia Sinta , Deharja Atma , Santi Maya Weka
Published: March 2024

Background: Patient medical records are records relating to the patient’s identity, diagnosis, action, and to the treatment that has been given to the patient. Thus, medical records must be protected from damage, but damage to medical records is still found in every hospital. Purpose: This study attempts to investigate the causes of damage to hospital medical record materials. Methods: this is literature review, and the research was obtained from google scholar and the portal garuda, using full text articles. The measured results were factors that cause damage to medical record documents. Results: The main factor were still officers with a low level of education, namely high school graduates. This has an impact on filing officers to be not disciplined in maintaining medical record documents, and the absence of implementation of training related to management and storage management in the filing section. The machine factor was that there was no medical record rack available in accordance with the number of medical record documents. The method factor was that there was no SOP for maintaining medical records. The material factor was the raw material for the map using thin paper. The media factor, namely the storage space, has not been avoided from the dangers of water, fire, and biological damage. Conclusion: Based on 5M factors, the factors that have the highest influence on damage to medical record documents are the elements of people, machine, and material. While the factor that causes the least damage to medical record documents is the method.
Traditional Massage-Induced Iliotibial Band Syndrome: A Case Report
Authors: Nugroho Nunung , Andriani Bernadheta Ayu
Published: March 2024

Iliotibial Band (ITB) Syndrome is common among athletes, such as runners and cyclists. There are several theories regarding the etiology of  ITB Syndrome, including friction, compression, and chronic inflammation. We report a rare case of ITB Syndrome induced by traditional massage after a history of chronic knee pain. A 63-year-old female visited our Pysical Medicine and Rehabilitation Department with the pain of the lateral side of the right knee for four months after traditional massage. The physical examination showed a positive Ober test and Noble compression test. We performed an ultrasonography on the lateral right knee and found fluid effusion beneath the ITB confirming the diagnosis of ITB Syndrome. A pain intervention was performed with ultrasound-guided aspiration and injection of steroid beneath the ITB. After the procedure and rehabilitation program of cryotherapy and ultrasound therapy, the pain was reduced greatly and there was no need for further management.
Effect of Therapeutic Exercise in Postural Low Back Pain: A Case Report
Authors: Vivid Prety Anggraini  , Sheilla Elfira San Pambayun  , Pudji Hapsari Rosalyna , Arya Pringga Gutama
Published: March 2024

Postural low back pain (LBP) is a non-specific LBP defined as pain or discomfort in low back areas caused by incorrect posture for ages. Most patients only experience mild and moderate pain from low back pain, however, it can cause chronic pain and disability for several groups. This case report aims to investigate the effect of therapeutic exercise on posture and pain in postural LBP.
A 37-year-old male presented with LBP for 4 months with Numeric Rating Scale (NRS) 7. Physical examination showed impaired posture, wide base gait, limitation ROM of trunk, reduced breathing count test, muscle spasm at upper and lower back areas, positive in Thomas test, Ely test, and hamstring tightness test. The back pain functional scale (BPFS) was 7. The therapeutic exercise program consisted stretching exercises (neck, upper and lower back, hamstring, rectus femoris, iliopsoas muscle), core strengthening, William’s flexion, McKenzie’s, breathing and chest expansion exercise, alongside proprioceptive exercise. One cycle (eight times) of physical modalities, TENS at paralumbal and USD at paracervical, upper and middle trapezius, rhomboid, sternocleidomastoideus, paralumbal, and insertion of hamstring were given. We evaluated the patient’s condition for about 4 months, and the patient showed a good compliance with improvement in pain score, ROM of the trunk, reduced muscle spasm and tightness, improved posture, gait, breathing, and BPFS. The patient can return to do his job again.
This case report is able to demonstrate that therapeutic exercise improves clinical and functional conditions. These findings suggest the clinical implications of therapeutic exercise in patients with postural LBP are beneficial.
Training Chemistry Teachers' Understanding in Creating Learning Evaluation Media Using the Wordwall Application
Authors: Iriani Rilia , Leny Leny , Rinaya Misi Jini , Misbah Misbah , Azhari Andy , Nana Nana , Sopranti Nika , Muhaimin Muhaimin , Norhasanah Hakki
Published: March 2024

This community service activity aims to assist chemistry teachers in the Banjar Regency Chemistry Teachers Working Group (MGMP) in developing learning evaluation materials. This training aims to improve the quality of learning in the Independent Curriculum for chemistry teachers in creating learning evaluations using Wordwall. Based on the questionnaire results filled out by MGMP chemistry teachers in the Banjar Regency, it was found that 50% of teachers stated that they were skilled enough in using technology in preparing learning evaluation materials. The methods in this activity are divided into three stages: pre-implementation, implementation, and post-implementation. Considering this condition, the community service team needs to address the problems teachers face by conducting training on preparing IT-based teaching materials held at SMAN 1 Martapura with two offline meetings attended by 21 teachers. Based on the training results, there was an improvement in teachers' understanding of creating interactive evaluation materials using Wordwall, and teachers' responses to the activity showed a good category. The interactive evaluation products produced can be used to assist the chemistry learning process.
Contemporary Wayang Stories in Enhancing Cognitive and Skills of Children in Maintaining Dental and Oral Health
Authors: Siregar Irma HY , Haryani Wiworo , Chaerunnnisa Salsabella Wanda
Published: March 2024

The prevalence of dental caries in children is still relatively high in Indonesia. One of the causes is neglect of oral and dental health maintenance. The school dental health business Program carried out to overcome this has not covered all elementary schools in Indonesia. Given the importance of maintaining children's dental and oral health, improving children's dental health promotion programs at school is necessary. Community service has been carried out at MI Al Khaeriyah, Jabungan Semarang city is a promotive program that aims to improve oral hygiene and children's knowledge in maintaining their dental health. Promotional efforts were carried out in packages consisting of fairy tales, interactive questions and answers, demonstrations, and mass brushing of teeth for 42 students in grades 1-6 elementary school. The results showed an increase in knowledge, both to 93% and followed by an increase in dental and oral hygiene criteria by 81%. Counseling in the form of fairy tales, interactive questions and answers, demonstrations, and mass tooth-brushes can motivate students to behave positively in maintaining healthy teeth every day. Promotive actions in children need to be increased and implemented on an ongoing basis to maintain positive behavior, reduce the prevalence rate of caries in the future, and support existing school dental health business programs.
Performances Performances de la population de poissons indigènes dans le réservoir PB Soedirman, Banjarnegara, Indonésie
Authors: Sukiyati Eny , Soedibya Petrus Hary Tjahja , Sulistyo Isdy
Published: March 2024

Le réservoir de PB. Soedirman est une zone lentique constituant un habitat pour divers de poissons. Le but de cette étude était d'inventorier les espèces, la dominance, l'abondance, et la biomasse relative des poissons indigènes dans le réservoir. Une méthode d'enquête a été effectué dans 7 stations d'échantillonnage avant d’obtenir les données primaires, c’est à dire la diversité des espèces de poissons. Les résultats ont montré qu'il y avait 13 poissons indigènes. L’indice de diversité était de 1,15 ; alors que l'indice de dominance a touché 0,03 indiquant une faible dominance. L'abondance relative des poissons était de 40,75 %, et la biomasse relative 40,12 %.
Pendampingan Pembelajaran Literasi untuk Menghadapi ANBK di MTs. Muhammadiyah 13
Authors: Arifatin Fais Wahidatul , Ahsanah Finaty
Published: March 2024

Artikel ini membahas tentang pendampingan pembelajaran literasi sebagai upaya persiapan siswa menghadapi Asesmen Nasional Berbasis Komputer (ANBK) di Madrasah Tsanawiyah Muhammadiyah 13 Solokuro Kabupaten Lamongan. Literasi, yang mencakup kemampuan membaca, menulis, dan memahami teks, merupakan komponen penting dalam ANBK. Artikel ini menguraikan langkah-langkah konkret untuk memberikan pendampingan literasi yang efektif kepada siswa. Pendampingan dimulai dengan identifikasi kebutuhan siswa secara individu dan kelompok. Bahan bacaan yang relevan dengan materi ujian disediakan untuk membantu siswa mengembangkan pemahaman yang lebih luas dengan menggunakan buku AKM. Selain itu, siswa dilatih dalam strategi literasi seperti membaca cepat, mencatat informasi penting, dan menganalisis teks. Soal-soal latihan mirip dengan format ANBK digunakan untuk meningkatkan kepercayaan diri siswa. Kemampuan teknologi juga ditekankan karena ANBK adalah ujian berbasis komputer. Evaluasi berkala digunakan untuk memantau kemajuan siswa dan merencanakan tindak lanjut yang sesuai. Pendampingan literasi ini bukan hanya persiapan untuk ujian, tetapi juga investasi dalam pengembangan kemampuan literasi siswa yang akan berdampak positif dalam kehidupan mereka di masa depan. Dengan pendekatan ini, diharapkan siswa akan lebih siap menghadapi ANBK dan menjadi individu yang lebih terampil dalam literasi. Setelah pendampingan berjalan siswa terampil menggunakan komputer, terbiasa membaca dan mengetahui cara mengerjakan soal ANBK dengan lebih baik.
Pelatihan Manajemen Event untuk Mengoptimalkan Potensi Desa Seni Budaya di Desa Tulusbesar, Kecamatan Tumpang, Kabupaten Malang
Authors: Suharto Ririn Pratiwi , Zubaidi Zubaidi , Maulidiyah Fitrotul , Wahyuningsih Noverita , Suryanto Bambang , Putra Dhony Manggala
Published: March 2024

Kegiatan pengabdian dilaksanakan di Desa Tulusbesar, Kecamatan Tumpang, Kabupaten Malang Tahun 2023. Permasalahan utama yang dihadapi oleh mitra di Desa Tulusbesar, Kecamatan Tumpang, Kabupaten Malang yaitu masyarakat belum memiliki pengetahuan tentang penyelenggaraan event seni budaya sehingga mempengaruhi pendapatan masyarakat yang belum mampu menyelenggarakan event dengan efektif. Tujuan khusus kegiatan pengabdian ini adalah untuk memberikan pelatihan manajemen event kepada mitra. Pelatihan Manajemen Event didalamnya terdapat praktik sederhana untuk menyelenggarakan Event Seni Budaya. Metode yang dipakai adalah memberikan Pelatihan Manajemen Event dan praktik sederhana terkait penyelenggaran Event. Hasil dari kegiatan pengabdian masyarakat ini yaitu meningkatkan pengetahuan dan keterampilan mitra untuk melaksanakan penyelenggaraan Event Seni Budaya.
Identify Product Defects In The Injection Molding Process
Authors: Sulung Wibawansyah Sulung Wibawansyah
Published: March 2024

Injection molding is a method of processing thermoplastic polymer seeds that are inserted into a hopper intoa barrel then the material is pushed by a screw to enter the mold (mold). However, products produced by injectionmolding machines are sometimes still found defects in the product. Common defects include: Short shot, Flash, Sinkmark, Flow mark, Black spot, Warpage and Colour streaks. And the most causative factors are materials that do notcomply with production procedures, lack of checking on the control panel, mold design errors (mold).Keywords - Injection molding; defects; mold
Implementation of Ventilation Panel Installation
Authors: Rifandi Ahmad , Wisaksono Arief
Published: March 2024

Abstract. Electrical panels are an important component in industry, which provides security to electrical installations in various industrial sectors. Large-scale companies dominate this industry to meet the high needs of consumers and maintain the quality and security of electrical installations. Electric panels must be installed carefully, pay attention to the surrounding environment, and play an important role in controlling ventilation to regulate the temperature and air conditions inside the cage. This research uses qualitative methods to understand the process of making ventilation panels. The results cover two types of panels: electric panels and ventilation panels. Electric panels serve as storage for electrical components, protect from the surrounding environment, and facilitate the operation of electrical machines. Meanwhile, ventilation panels are a crucial part of modern farm management, adjusting temperature and humidity to suit the needs of animals. The components in the ventilation panel involve various elements such as MCBs, TORs, contactors, relays, busbars, and others. The process of creating ventilation panels includes steps such as sketching pictures, making electrical panel boxes, assembling components, busbar assembly, wiring, as well as QA and QC stages to ensure panel quality. This process ends with finishing and packing before delivery to the consumer. This research provides an in-depth understanding of the manufacture of ventilation panels, which is essential for modern industry and agriculture inining optimal environmental conditions.
A Generalized Method for Dynamic Fracture Characterization Using Two-Phase Rate Transient Analysis of Flowback and Production Data
Authors: Sun Guoqing , Zhang Zhengxin , Mu Changhe , Liu Chuncheng , Deng Chao , Li Weikai , Hu Weiran
Published: March 2024

This study presents a comprehensive method for characterizing reservoir properties and hydraulic fracture (HF) closure dynamics using the rate transient analysis of flowback and production data.

The proposed method includes straightline analysis (SLA), type-curve analysis (TCA), and model history matching (MHM), which are developed for scenarios of two-phase flow in fracture, stimulated reservoir volume (SRV), and nonstimulated reservoir volume (NSRV) domains. HF closure dynamics are characterized by two key parameters, which are pressure-dependent permeability and porosity controlled by fracture permeability modulus and compressibility. The above techniques are combined into a generalized workflow to estimate iteratively the five parameters (including four optional parameters and one fixed parameter) by reconciling data in different domains of time (single-phase water flow, two-phase flow, and hydrocarbon-dominated flow), analysis methods (SLA, TCA, and MHM), and phases (water and hydrocarbon phase).

We used flowback and production data from a shale gas well in the US and a shale oil well in China to verify the practicability of the method. The analysis results of the field cases confirm the good performance of the newly developed comprehensive method and verify the accuracy in estimating the static fracture properties [initial fracture pore volume (PV) and permeability] and the HF dynamic parameters using the proposed generalized workflow. The accurate prediction of the decreasing fracture permeability and porosity, fracture permeability modulus, and compressibility demonstrates the applicability of the comprehensive method in quantifying HF dynamics. The field application results suggest a reduction of the fracture PV by 15% and 20%, and a reduction of the fracture permeability by 80% and 90% for shale gas and shale oil wells, respectively.
Multimodal Joint Representation by Shared Knowledge Embedding with Vision-Language View for VQA
Authors: Cheng Keyang , Jiang Zhou , Si Yu , Ding Yi , Gu Hongjian , Ghafoor Humaira abdul
Published: March 2024

Current works in Visual Question Answering(VQA) that introduce external knowledge mainly focus on leveraging the knowledge to supplement the language representation in VQA model’s question input. However, such approaches ignore the commonsense information implied in the image. In this paper, we propose a novel VQA framework to embed knowledge features into vision and language respectively with a shared knowledge graph. To bridge the gap between visual representation and knowledge representation, we propose the knowledge enhancing visual representation (KEVR) module. KEVR is designed to explore external knowledge in image from the knowledge graph. By utilizing KEVR, external knowledge related to the objects in the image can be embedded into visual representation directly. In terms of the input question, a designed transformer is utilized to embed knowledge features into language representation. The knowledge graph used in our model is extracted from three knowledge bases. We organize the prior knowledge in the form of RDF triples to establish knowledge connections, then a graph neural network is employed to extract multilateral relationships in knowledge graph. What's more, a two-stream transformer is employed to get the attention based vision-language representation. The results of our experiments show that our model outperforms the best baseline model with an accuracy of 1.34% and 2.59% on VQA 2.0 and OK-VQA datasets respectively.
Designing a Recommendation Model by Dilated Convolutional Neural Network with Bi-Directional Gated Recurrent Unit
Authors: G Jai Arul Jose , Mastan Mahammad , Al-Nuaimy Louay A. Hussein
Published: March 2024

In recent years, the recommendation system is one of the important tools of e-commerce, which provides suggestions to the user for some resources such as hotels, songs, books, movies, etc. The existing hotel recommendation method has faced many problems such as data sparsity, cold-start problems, scalability, etc. So, this paper proposes the hotel recommendation system use the hybrid of dilated convolutional neural network (CNN) and bi-directional gated recurrent unit (BiGRU) with an attention mechanism. The main aim of this research is to develop a more efficient, scalable, regularized, and more generalized recommendation system which can recommend the name of the hotels to the travellers based on their preferences by analysing the previous so far traveller’s comments together with the rating value to improve the forecast accuracy. The aspect based attention mechanisms are employed to evaluate the word, sentence, and semantic level similarity weight based vectors for mining useful information. The proposed approach has shown improved performance than existing approaches in terms of 99.46% Accuracy, 98.94% Precision, RE98.84% Recall, and 98.75% F1-score.
Risk Factors of Sexual Abuse among School-Going Children in Primary Schools in Kisumu County, Kenya
Authors: Maranga Isabel , Onyango Patrick , Omondi Dickens
Published: March 2024

Child sexual abuse is a public health problem with negative physical, mental, behavioral and learning outcomes to survivors. A recent Kenya Demographic Health Survey showed that 22% of women and 13% of men in western Kenya have experienced sexual abuse compared to 14% women and 6% men nationally. Whereas schools have a major influence on a child’s development and behavior, they have been identified as important settings where child sexual abuse might occur. However, how sexual abuse is patterned by the type and location of the school remains an open question. In the present study, we investigated risk factors of sexual abuse among school-going children in primary schools in Kisumu County. Using a cross-sectional study design and guided by the ecological health model, the study determined association between type of school and sexual abuse; association between location of school and sexual abuse, and spaces that predispose school-going children to sexual abuse in primary schools. A sample of 398 pupils aged between 10–16 years randomly identified participants from 37 pre-selected primary schools in Kisumu Central and Kisumu West sub-Counties was used. Data from pupils was collected using self-administered questionnaires, focus group discussions, and key informant interviews. The mean age of participants was 13 years. Forced sex (38%) was the most common known type of sexual abuse. More girls than boys had ever experienced any type of sexual abuse 29% versus 20%; p = 0.038. Whereas there was no statistical difference in pupils’ experience of sexual abuse by type and location of school x2 = 2.044; p > 0.05 and x2 = 0.823 p > 0.05, pupils reported that attending public day schools is associated with higher risk of sexual abuse mainly while walking to and from home. Pupils reported that bushes inside the school (52%), latrines/toilets (51%) and bushes outside the school (50%) were the spaces where one is more likely to experience sexual abuse. Being a female pupil was the most significant risk factor for sexual abuse in the primary schools surveyed indicating that gendered predisposition plays an important role in the incidences of sexual abuse in primary schools. Though not statistically significant in this study, it is plausible that risky spaces and type of schools might modify female gender predisposition in subtler ways as suggested from the pupils’ perspectives. Consequently, there is need for a gendered focus in a complex primary schooling environment.
Deep Learning Approach to predict PM10 pollutant by using other Air Pollutants and Meteorological Factors
Authors: Pandita Ishaan Sunita , Bhanot Gaurav , Reddy A.V. Shanmukh
Published: March 2024

Particulate matter in particular poses a serious risk to both human health and the environment. For efficient pollution management and the deployment of appropriate mitigation techniques, accurate air quality forecasting is essential. The objective of the proposed work is to forecast the concentration of PM10 (particulate matter with a diameter of 10 micrometres or less) using a variety of air pollutants as predictors, such as PM2.5, NO2, CO, and other pertinent chemical species. Proposed system makes use of a sizable dataset that includes historical measurements of PM10, PM2.5, NO2, CO, and numerous other air contaminants. It is common knowledge that these pollutants are significant sources of air pollution, and metropolitan areas regularly monitor these pollutants' concentrations. The accuracy of PM10 prediction is increased by using numerous air pollutants as predictors because the intricate interactions and synergistic effects among various pollutants can be captured. This study proposes the development of a system, inspired by existing machine learning and deep learning techniques, capable of forecasting the concentration of PM10 in the atmosphere, using data about other pollutants, as mentioned previously, in the air in the region of prediction, along with meteorological factors defining the weather in the region of prediction, including but not limited to relative humidity, wind speed, wind direction, average temperature and barometric pressure. Before using data from trusted sources (elicited in the references) to build machine learning and deep learning models, the relationships of various features within the dataset were studied in comparison with the target variable – concentration of PM10. In the work done, it has been observed that the Machine Learning model based on Decision-Tree architecture, Extra Trees Regressor, delivered a 93% R2 score, with an RMSE of less than 20 parts per million with respect to PM10 concentration in the air. With this proposed system, multiple advantageous technologies emerging in the domain of air pollution control and mitigation can be built, such as early warning systems for administrative and meteorological departments; and improvement of this system to expand the forecast horizon and integrate the forecasting framework are some valuable future improvements which can be added to this work.
Multi-physics coupling simulation of GMAW arc and droplet behaviors based on CFD
Authors: Zhang Yujiao , Li Yinghao , Niu Sizhe , Wang Hongtao , Zong Ran
Published: March 2024

A three-dimensional transient model of gas metal arc welding (GMAW) process including the arc plasma and droplet transfer was established to investigate the complex coupling mechanism of mass transfer, heat transfer, electromagnetism, and hydrodynamics. The arc shape, current density, temperature field, electromagnetic force, arc pressure and droplet behavior were analyzed. The results showed that the iron vapor generated on the droplet surface and diffused in the arc, which changed the plasma thermal-pressure distribution. The upward surface tension maintained the forming droplet at the wire tip. The electromagnetic force promoted necking, resulting in a decrease in surface tension. Gravity and plasma drag force accelerated the droplet. The behaviors of the inner arc layer varied periodically with the droplet transfer, while the arc periphery remained stable. Droplet transfer was the result of periodic changes in its stress state over time, which also led to periodic changes in arc behavior. This study laid the foundation for further research on the influence of arc and droplet behaviors on the weld pool.
A Novel Semi-Analytical Model of Rock Compressibility for Carbonate Formations
Authors: Allawi Raed H.
Published: March 2024

Over the past years, many researchers have studied the rock compressibility of porous media because it is the most crucial factor affecting the reservoir potential and recovery factor evaluation. However, it has yet to be definitive because the researchers differ, and some suggest it is a positive relationship with porosity, while others propose the opposite. Motivated by this disagreement, this study presents an empirical equation to estimate pore volume compressibility for carbonate formations.
In this regard, this model was performed using several mathematical equations and one correlation. Thus, this equation was validated using laboratory tests. These tests were 415 laboratory-measured core porosity from the carbonate formation, which was utilized to estimate compressibility. In addition, twenty-one laboratory-measured cores compressibility were applied to test the model's accuracy. Well-log data were used to evaluate mechanical rock properties within a bulk modulus (dynamic and static). Moreover, the mechanical rock properties were estimated using derived equations suitable with three types of logs, including bulk density (ρb), compression wave velocity (DTC), and shear wave velocity (DTS).
The elastic rock properties were validated using a uniaxial lab test to test the Static Young's Modulus correlation (Esta) validity, which is essential to derive the compressibility equation. The results led to a compressibility equation that was simple, uncomplicated, and easy to use. Moreover, this equation was compared with laboratory measurement results and confirmed accurate. The results were that the equation values were very close and compatible with laboratory measurements. Therefore, this equation is correct and robust and can be relied upon to estimate compressibility in the carbonate formation of the oilfields.
The study's results could be a reference for carbonate formation to estimate compressibility and be used as effective cost tools.
Neuropsychiatric Disorders In Non-Syndromic Orofacial Clefts: A Follow-Up Study
Authors: Sándor-Bajusz Kinga Amália Dr. , Csábi Györgyi , Dávidovics Kata , Vástyán Attila , Dergez Tímea
Published: March 2024

Background
Children born with non-syndromic orofacial clefts are an at-risk population for neuropsychiatric disorders. In a previous study, we have observed a significantly higher proportion of previous psychiatric care, special education needs, and cognitive difficulties in children with cleft compared to their non-cleft controls. Our goal was to strengthen these observations by screening these children with a clinically well-established neuropsychiatric tool.
Methods
A follow-up study of our previous cohort was carried out in the Department of Pediatrics of the University of Pécs. The cohort included children with non.syndromic orofacial clefts and healthy controls. The M.I.N.I Kid semi-structured interview was used to screen for neuropsychiatric disorders. A parental questionnaire was used to collect demographicand clinical data. Chi2-test or Fischer's Exact test were used to analyze categorical data. Two-sided independent samples Student’s t-test were used for quantitative variables.
Results
The data of 32 non-syndromic cleft and 41 control participants were analyzed. Children with non-syndromic orofacial clefts represented a higher proportion of psychiatric diagnoses compared to their controls, significantly major depressive episode (12,5%), panic disorder (15,6%), and conduct disorder (9,4%). Subgroup analysis revealed higher proportions of diagnoses in children with complex (combined and/or bilateral) and left-sided clefts.
Conclusions
A higher proportion of neuropsychiatric diagnoses were observed in children with non-syndromic orofacial clefts compared to controls. Screening this population at an early age is an important part of their overall clinical care.
A collaborative planning model of IES containing EHs and multi-energy grids under the premise of demand response as well as wind power uncertainty
Authors: Feng Peiyun , Liu Xiang , Ding Nan , Zhao Tianyu , Sun Shijin , Fan Jinxin
Published: March 2024

The proliferation of renewable energy resources brings opportunities as well as new challenges to the planning and operations within integrated energy systems (IES). To make full use of the complementary transformation characteristics between energy sources, while ensuring higher flexibility, reducing wind power curtailment and cost minimization, this paper presents a collaborative planning study of IES with energy hubs (EHs) and multi-energy grids considering demand response (DR) and wind power uncertainty. We introduced Z-number into these uncertainty variables and translated them into quantifiable values. thus reflecting the actual state of this system better. Our optimization model includes EH models which decide the selection and capacity determination of energy conversion and energy storage components. In addition outside the EHs, conventional generator dispatches, and the hardening of electric-gas grid decisions are also included. Finally, the model is verified on an improved Graver-6 bus IES, and numerical results validate that an increased DR and wind power credibility can be conducive to reducing wind curtailment with 45KW and help cost-savings with 4.05%.
Microseismic fuzzy comprehensive evaluation method of coal burst - A case study in Zhaolou Coal Mine
Authors: Zhang Heng , Liang Liang , Lin Na , Zhang Shuai , Cui Miao-miao , Yang Zhong-gang
Published: March 2024

Based on a coal burst in LW 1305 and combined with the curve of stress vs. strain, six multi-parameters are proposed to forewarn coal burst induced by static high-stress concentration and impact loading, containing microseismic (MS) activity S value, fault total area A(t) value, lacking of shock b value, statistical Z value, MS entropy value and the dominant frequency. The precursors mainly characterize the enhancement trend of S value, the suddenly and sharply rise of A(t) value, the continuous and abnormal lower b value, the increasing absolute value of Z sharply and large than 2, the continuous and abnormal decline of Qt value, and the dominant frequency moving to low-frequency band, respectively. The coal burst in LW 1305 was induced by the intrinsic static high-stress concentration and the external strong impact loading generated by fracturing of the key stratum. Essentially, a lot of micro-fissures inside the key stratum had initiated, converged and connected to form the macro-fracture above LW 1305, which was verified by the attenuation rate of K value. Considering the time-varying effect of the overlying stratum movement, the curves of the six multi-parameters have a good agreement with that of stress vs. strain, which indicates it is reasonable to take the observed zone as a whole system to investigate variation of the multi-parameters and fracturing of the key stratum. It is noteworthy that the MS multi-parameters should be combined with reasonable mining arrangement and corresponding prevention measures to monitor, forecast and control coal bursts in the field.
Three-dimensional atomic interface between metal and oxide in Zr-ZrO2 nanoparticles
Authors: Zhou Jihan , Zhang Yao , Li Zezhou , Tong Xing , Xie Zhiheng , Huang Siwei , Zhang Yue-E , Ke Hai-Bo , Wang Wei-Hua
Published: March 2024

Metal-oxide interfaces with poor coherency have unique properties comparing to the bulk materials and offer broad applications in the fields of heterogeneous catalysis, battery, and electronics. However, current understanding of the three-dimensional (3D) atomic metal-oxide interfaces remains limited because of their inherent structural complexity and limitations of conventional two-dimensional imaging techniques. Here, we determine the 3D atomic structure of metal-oxide interfaces in zirconium-zirconia nanoparticles using atomic-resolution electron tomography. We quantitatively analyze the atomic concentration and the degree of oxidation, and find the coherency and translational symmetry of the interfaces are broken. Moreover, we observe porous structures such as Zr vacancies and nano-pores and investigate their distribution. Our findings provide a clear 3D atomic picture of metal-oxide interface with direct experimental evidence. We anticipate this work could encourage future studies on fundamental problems of oxides such as interfacial structures in semiconductor and atomic motion during oxidation process.
Microbiological study for aerobic and anaerobic bacteria influenced corrosion originated from an Egyptian petroleum company: community and corrosive activity
Authors: Labena Ahmed , Mahdy Wael , Kabel Khaled , Gado Walaa S. , Husien Shima , El-Shatoury Enas , Saeed Ali
Published: March 2024

This research focused on investigating a case of an Egyptian petroleum company, where their fields faced Microbiologically influenced corrosion (MIC) problems, even though they had been using corrosion inhibitors and biocides. Therefore, five samples were collected and used to study their microbial community using 16S metagenomics sequencing. The result displayed many potential corrosive bacteria that represented in families, genera and species. The samples were studied concerning total bacterial counts, acid-producing bacteria (APB), slime-forming bacteria (SFB), sulfate-reducing bacteria (SRB). The results displayed that; total bacterial counts were Nil in all samples except one. All samples did not grow in specific media for APB. All the samples displayed positive growth results on SFB specific media. Moreover, only one sample has demonstrated a positive result on SRB specific media. One sample was selected to study its corrosion activities upon its diver’s bacterial community, cultivable on microbially specific media and its real-field corrosion severity. The SFB corrosion`s activities were assessed by determining the variation in bacterial counts, redox potential and metal corrosion rate. Corrosion`s activities of SRB were assessed by examining alterations in dissolved sulfide, redox potential and metal corrosion rate. Surface morphology was examined using scanning electron microscopy.
Risk study of obstructive pulmonary dysfunction caused by silica dust exposure: A multi-center cross-sectional survey
Authors: Li Xin , Tang Mei An , Li Ying , Dai Wei Rong , Huang Lei
Published: March 2024

Objective: Occupational dust exposure is an under-appreciated risk factor for chronic obstructive pulmonary disease (COPD). This study aims to investigate the prevalence of obstructive pulmonary dysfunction in workers exposed to silica dust and analyze their risk by collecting multi-center health monitoring data, so as to provide reference for the diagnosis of occupational dust-induced chronic obstructive pulmonary disease.
Methods: From January 1, 2021 to June 30, 2022, data of 2064 workers exposed to silica dust in Hunan Occupational Disease Prevention and Control Hospital and the Second People's Hospital of Yuanling County were collected, and the incidence of obstructive pulmonary ventilation dysfunction was analyzed.
Results: The prevalence rate of obstructive pulmonary ventilation dysfunction (FEV1/FVC<70%) was 2.3% in 2064 silica dust exposed workers. The prevalence of restrictive pulmonary ventilation dysfunction (FVC/Pre<80%) was 8.1%. The prevalence of obstructive pulmonary ventilation dysfunction in the high exposure group was higher than that in the low exposure group (8.2 vs 0.9%p =0.00). High levels of silica dust exposure increased the risk of obstructive pulmonary ventilation dysfunction OR: 13.80 .
Conclusion: Silica dust exposure can cause obstructive pulmonary ventilation dysfunction and lead to chronic obstructive pulmonary disease. Early diagnosis of silica dust induced chronic obstructive pulmonary disease and timely intervention measures are very important to delay the decline of lung function and protect the health of workers.
Prevalence and Factors Associated With Substance Abuse Among Adolescents in Public and Private Secondary Schools in Katsina State, Nigeria
Authors: Lawal Aminu , Suleiman Bello Abdullahi , Olorukooba Abdulhakeem Abayomi , Hamza Khadeejah Liman , Usman Bilkisu , Abdulkadir Amir , Abba Shaimau Kabir , Yahaya Shamsuddeen , Nass Nafisa Sani , Amadu Lawal , Shuaibu Zaharaddeen Babandi , Belgore Salamatu , Iliyasu Hadiza , Umar Umar Muhammad , Jibril Bashar Muhammad , Bashir Suleiman Saidu , Ahmad Adam , Saulawa Fahad Abubakar , Babale Muawiyyah Sufiyan , Abubakar Alhaji Aliyu
Published: March 2024

Background
Globally, substance abuse has been identified as a major public health issue. The aim of the study was to determine and compare the prevalence, pattern, and predictors of substance abuse among adolescents in public and private day secondary schools in Katsina State
Methods
A cross sectional comparative study was employed to investigate 1126 adolescents in selected public and private day secondary schools in Katsina State. A multistage sampling technique was employed to select participants in public and private secondary schools across geopolitical zones spanning both rural and urban LGAs. Data was collected over eight weeks with the aid of pretested interviewer-administered questionnaire and was analysed using IBM SPSS version 25. Ethical approval was obtained from Katsina State Ministry of Health
Results
Respondents that were 18 years of age accounted for the majority (25.1%). Mean age of the study population was 16.98 ± 1.27 years. Most of the respondents were also in SS3 (44.1%). Proportion of adolescents who ever used any substance at least once was 22.02% (7.99% public, 14.03% private). Factors independently associated with substance abuse were being in SS3 class (p = 0.022), coming from monogamous family (p = 0.014) and peer substance abuse (p = 0.017). The logistic regression model reveals that current users in SS3 class, from monogamous setting and whose peers abuse substances are 7 times more likely (aOR = 7.12), 5 times more likely (aOR = 5.4) and 20% more likely (aOR = 0.209) to be in private than in public schools, respectively.
Conclusion
Prevalence of substance abuse was high. Major predictor was peer substance abuse. Consequently, the state Ministry of Education in collaboration with Ministry of Health and NDLEA should design a substance abuse prevention programme with a view to reducing the menace of substance abuse in the state.
Experience learning——an artificial intelligence framework suitable for exploring the unknown
Authors: He Qing , Wang Shixin , Si Juanning
Published: March 2024

A novel framework of machine learning--experience learning (EL) is proposed for observing new objects and mastering new skills, which can typically be applied to artificial intelligence robots (AIR) exploring the unknown. Unlike traditional approaches, it is not necessary to prepare a large training sample set prior to model training. Instead, an experience chain is established by continuously observing or stimulating the researched objects and recording these experiences, which is inspired by early human learning behavior. Through continuous observation and attempts, the experience chain is updated and gradually converges toward the actual output probability of the researched object. The current experience unit serves as the basis of EL judgment while past experiences can be discarded using a forget coefficient. The application mode of this framework is illustrated with two simple examples. The cat and dog generator experiment represents the self-exploration for new objects. The virtual basketball machine experiment demonstrates the ability of this method to learn a new skill and to effectively mitigate random interference. By comparison, the similarities and differences between the proposed method and the related algorithms are analyzed. Ultimately, this approach proves valuable in enabling artificial intelligence systems to study and explore the unknown territories.
Serial dependence in the auditory numerical estimation task
Authors: Hashimoto Takuma , Morimoto Yukihiro , Makioka Shogo
Published: March 2024

Serial dependence, the phenomenon wherein current perceptions are modulated by preceding perceptions, is posited to play a pivotal role in facilitating perceptual stability. While the exploration of serial dependence has been extensive across various paradigms employing numerical stimuli, its manifestation in tasks requiring auditory numerical estimation remains unexplored. This study aimed to ascertain the presence of serial dependence in auditory numerical estimation tasks. Specifically, it examined participant estimations of object numbers based on the sound of objects colliding with a floor (Experiment 1) and estimations of the number of brief white noises (Experiment 2). Both experiments revealed serial dependence effects, whereby participants' numerical estimates were influenced to align more closely with the number of stimuli presented in the trial immediately prior.
Identification of deep intronic variants in junctional epidermolysis bullosa using whole genome sequencing and splicing assays
Authors: Li Ming , Chen Fuying , Wei Ruoqu , Wang Yumeng , Cao Qiaoyu , Wang Jianbo , Wang Chenfei , Yao Dingjin , Yao Zhirong , Ni Cheng
Published: March 2024

Junctional epidermolysis bullosa (JEB) are a group of recessive dermatoses characterized by mucocutaneous fragility and blister formation. We enrolled 69 recessive JEB cases, 13.0% JEB cases remain genetically undiagnosed following an initial whole exome sequencing. In cases carried COL17A1 mutations, this proportion can reach 31.6%. The aim of our study was to genetically diagnosis the JEB cases by employing whole genome sequencing where only one recessive mutation in targeted gene has been identified. Here, four distinct novel deep intronic mutations (c.4156+117G>A, c.2039-104G>A and c.1267+237dupC in COL17A1 gene and c.-38+2T>C promoter mutation in LAMB3 gene) had been identified in six cases. Of these, the c.4156+117G>A variant was found three out of five cases and may be a COL17A1 hotspot deep intronic variants in Chinese JEB. Minigene assays and in vivo studies revealed that these intronic mutations were indeed shown to exert a splicing defect by causes exon skipping or pseudoexon insertion into the transcript. Moreover, the three COL17A1 deep intronic variants demonstrated effect upon mRNA processing in HaCaT cells, not in HEK293 cells. We show that deep intronic mutations are not a rare occurrence, and firstly described to occur in JEB. Our results suggest the importance of selecting the right cell line for mRNA analysis.
Characterization of a prognostic model for head and neck squamous cell carcinoma based on Telomere maintenance genes
Authors: Cai Hua , Tian Yuan , Wu Ying-Jie , Zhou Ming-Zhu , Zhou Liu-Qing , Zhou Tao
Published: March 2024

Head and neck squamous cell carcinoma (HNSCC) typically presents unfavorable prognostic outcomes. Telomere dysfunction is involved in malignant transformation and tumor development processes. We performed a comprehensive array of analyzes to assess and authenticate the prognostic significance of telomeres in HNSCC, including the identification and examination of differential telomere maintenance genes (TMGs) with prognostic significance, Cox regression analysis, survival analysis, nomogram prediction, time receiver operating characteristic (ROC) analysis, Immune characteristics, enrichment analysis, drug sensitivity analysis, Mendelian randomization (MR) analysis, and real-time quantitative PCR (qRT-PCR). Employing bioinformatics, we derived a prognostic model comprising 80 significantly differentially expressed genes (DEGs) of prognostic relevance. Subsequent analysis using the HPA database revealed 24 genes, and they were identified to exhibit elevated expression levels in tumor patients. The model predicted an area under the ROC curve (AUC) of 0.973 for the 1-year survival rates of patients with HNSCC. The high- and low-risk groups exhibited different immune statuses and drug sensitivities. More precisely, HNSCC individuals in high-risk groups were more prone to show a favorable response to 17 chemotherapeutic drugs. Additionally, our result of qRT-PCR was also consistent with the analysis. The prognostic model centered on differential TMGs shows great potential as a valuable tool for risk stratification, predicting survival outcomes, assessing immune status, screening potential drugs, and exploring genetic associations with HNSCC.
Bio-inspired Optimization of Al2O3/Al Composite Armor: Structural Design and Ballistic Simulation Based on Armadillo Shell
Authors: Zhang Fulong , Zhu Peng , Lu Ping , Qian kai , Liu Shuangyu , Wang Liyan
Published: March 2024

The advancement of lightweight protective armors holds critical importance for enhancing the maneuverability and combat capabilities of helicopters. Leveraging insights from bionics, it provides a new idea for high-performance armor design. In this study, a new type of composite armor was designed by referring to the structural characteristics of hard phase-protection, soft phase-buffering of unitization armadillo shell. Through the numerical study, the anti-ballistic performance of armor with varying thickness ratios of the dense ceramic layer to the interpenetrating layer is obtained, and the influence of different structures of armor on the anti-ballistic performance is analyzed. The results show that compared with the traditional laminated composite armor, the Al2O3/Al biomimetic composite armor not only improves the separation phenomenon caused by wave impedance mismatch, but also greatly improves the speed drop in resisting high-speed and penetrating bullets. When the thickness ratio is 2:1, the armor has higher ballistic protection performance.