bluuebunny/crossref_metadata_2025 huggingface dataset:
Dementia Education for Workforce Excellence: Evaluation of a Novel Bichronous Approach
Authors: Macaden Leah , Muirhead Kevin
Published: January 2024

Dementia education and training for workforce development is becoming increasingly important in bridging knowledge gaps among health and social care practitioners in the UK and internationally. Dementia Education for Workforce Excellence (DEWE) was developed during the COVID-19 pandemic blending both synchronous and asynchronous instruction and delivered across three different contexts: care homes, home care, and nurse education within the UK and India. This study aimed to evaluate DEWE using mixed methods with online survey data analyzed descriptively and interview data analyzed thematically. Integration of survey and interview data aimed toward a comprehensive evaluation of this novel approach for dementia workforce development. Thirty-four social care practitioners and nurse educators completed the online survey demonstrating high-level learner satisfaction; learning gains; behavioral change, and motivation to share new knowledge. Four key themes developed from the analysis of interviews (n=9) around participants’ pursuit of new knowledge; delivery modes in DEWE; learning gains and impact of DEWE; and adaptations for future program implementation. Findings suggest DEWE is an innovative resource that promotes person- and relationship-centered dementia care across all stages of one’s dementia journey. Cultural adaptations are recommended for international delivery to ensure contextual alignment and maximum impact.
A Causal Framework for AI Regulation and Auditing
Authors: Sharkey Lee , Ní Ghuidhir Clíodhna , Braun Dan , Scheurer Jérémy , Balesni Mikita , Bushnaq Lucius , Stix Charlotte , Hobbhahn Marius
Published: January 2024

Artificial intelligence (AI) systems are poised to become deeply integrated into society. If developed responsibly, AI has potential to benefit humanity immensely. However, it also poses a range of risks, including risks of catastrophic accidents. It is crucial that we develop oversight mechanisms that prevent harm. This article outlines a framework for evaluating and auditing AI to provide assurance of responsible development and deployment, focusing on catastrophic risks. We argue that responsible AI development requires comprehensive auditing that is proportional to AI systems’ capabilities and available affordances. This framework offers recommendations toward that goal and may be useful in the design of AI auditing and governance regimes.
Integrated Transcriptomic Analysis of Vulva and Vagina Explores the Regulation of Long Intergenic Non-coding RNAs and Alternative Polyadenylation in Estrus Expression of Gilts
Authors: Liu Mingzheng , Chen Jiahao , Zhang Chunlei , Liu Shuhan , Chao Xiaohuan , Yang Huan , Muhammad Asim , Zhou Bo , Ao Weiping , Schinckel Allan P.
Published: January 2024

The fertility rate and litter size of female pigs are critically affected by the expression of estrus. The objective of this study was to elucidate the regulatory mechanisms of estrus expression by analyzing the differential expression of genes and long intergenic non-coding RNAs (lincRNA), as well as the utilization of alternative polyadenylation (APA) sites, in the vulva and vagina during the estrus and diestrus stages of Large White and indigenous Chinese Mi gilts. Our study revealed that the number of differentially expressed genes (DEG) in the vulva was less than that in the vagina, and the DEGs in the vulva were enriched in pathways such as “neural” pathways and steroid hormone responses, including the “Calcium signaling pathway” and “Oxytocin signaling pathway”. The DEGs in the vagina were enriched in the “Metabolic pathways” and “VEGF signaling pathway”. Furthermore, 27 and 21 differentially expressed lincRNAs (DEL), whose target genes were enriched in the “Endocrine resistance” pathway, were identified in the vulva and vagina, respectively. Additionally, we observed that 63 and 618 transcripts of the 3'-untranslated region (3'-UTR) were lengthened during estrus in the vulva and vagina, respectively. Interestingly, the genes undergoing APA events in the vulva exhibited species-specific enrichment in neural or steroid-related pathways, whereas those in the vagina were enriched in apoptosis or autophagy-related pathways. Further bioinformatic analysis of these lengthened 3'-UTRs revealed the presence of multiple miRNAs binding sites and cytoplasmic polyadenylation element (CPE) regulatory elements. In particular, we identified more than 10 CPEs in the validated lengthened 3'-UTRs of the NFIX, PCNX4, CEP162 and ABHD2 genes using RT-qPCR. These findings demonstrated the involvement of APA and lincRNAs in the regulation of estrus expression in female pigs, providing new insights into the molecular mechanisms underlying estrus expression in pigs.
Integrative Metabolomic Analysis of Serum and Selected Serum Exosomal microRNA in Metastatic Castration-Resistant Prostate Cancer
Authors: Evin Daniel , Evinová Andrea , Baranovičová Eva , Šarlinová Miroslava , Jurečeková Jana , Kaplán Peter , Poláček Hubert , Halášová Erika , Dušenka Róbert , Briš Lukáš , Brožová Martina Knoško , Sivoňová Monika Kmeťová
Published: January 2024

Metastatic castration-resistant prostate cancer (mCRPC) remains a lethal disease due to the absence of effective therapies. A more comprehensive understanding of molecular events, encompassing the dysregulation of microRNAs (miRs) and metabolic reprogramming, holds the potential to unveil precise mechanisms underlying mCRPC. This study aims to assess the expression of selected serum exosomal miRs (miR-15a, miR-16, miR-19a-3p, miR-21, and miR-141a-3p) alongside serum metabolomic profiling and their correlation in patients with mCRPC and benign prostate hyperplasia (BPH). Blood serum samples from mCRPC patients (n=51) and BPH patients (n=48) underwent metabolome analysis through 1H-NMR spectroscopy. The expression levels of serum exosomal miRs in mCRPC and BPH patients were evaluated using quantitative real-time polymerase chain reaction (qRT‒PCR). The 1H-NMR metabolomics analysis revealed significant alterations in lactate, acetate, citrate, 3-hydroxybutyrate, and branched-chain amino acids (BCAAs, including valine, leucine, and isoleucine) in mCRPC patients compared to BPH patients. MiR-15a, miR-16, miR-19a-3p, and miR-21 exhibited a down-regulation of more than twofold in the mCRPC group. Significant correlations were predominantly observed between lactate, citrate, acetate, and miR-15a, miR-16, miR-19a-3p, and miR-21. The importance of integrating metabolome analysis of serum with selected serum exosomal miRs in mCRPC patients has been confirmed, suggesting their potential utility as clinical diagnostic markers.
Research on Wheat Image Encryption Based on Different Chaotic Systems
Authors: Shao Yi , Zhu Huiru , Deng Xuefeng , Yang Hua
Published: January 2024

(1) In order to study the influence of chaotic system on wheat image encryption, a method to find the optimal chaotic system encryption based on wheat image is proposed. (2) 10 different chaotic system schemes are combined to encrypt wheat images by 13 common chaotic maps, respectively. The best chaotic system scheme is obtained by considering the anti-attack capability of these encryption schemes, which analyzes 8 commonly used image encryption performance evaluation indexes. (3) The experimental results show that the new four-dimensional chaotic system has the best encryption effect, which is suitable for wheat image encryption. (4) The proposed scheme of wheat image encryption based on chaotic system provides a reference for other crop image encryption.
Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios
Authors: Bendahmane Mohammed , Ribas-Xirgo Lluís
Published: January 2024

Driver’s distractions are more prone to occur with automated driving vehicles, which might turn into cancelling some of their advantages. Traffic reports, naturalistic observations and in-lab tests are carried out to determine the influence of driver’s distractions in car crashes and to develop technology to detect and prevent them from happening. One of the best strategies to cope with this problem is education. In this work we propose a simulation environment to design laboratory experiments to study driver’s distractions as well as simple games to train drivers to take over the control of the vehicle when required. The result framework enables drivers to experience driving highly automated cars in their neighborhoods or in places of their choice with different levels of events to check their ability in taking over the control when required.
COVID-19–Sensitive Tumour Response – 2-Year Assessment of the SARS-CoV-2 Humoral Response in Cancer Patients in Oncology Hospital in Poland
Authors: Kosiorek Piotr , Mikołuć Bożena , Stróż Samuel , Hryniewicz Anna , Kazberuk Dorota Elżbieta , Milewski Robert , Grzeszczuk Anna , Borkowska Magdalena Joanna , Stasiak-Barmuta Anna
Published: January 2024

Background: So far, vaccination has been considered the most crucial defense against viral infection, including SARS-CoV-2. Numerous reports have demonstrated the effectiveness of the above vaccines in oncology patients. It has also been proven that, apart from vaccinations and oncological therapy, the course of the cancer process itself influences the magnitude of the humoral response, especially in people after infection with SARS-CoV-2.
Objective: This study aimed to answer the question about the impact of the cancer process on the humoral response in oncological patients vaccinated against SARS-CoV-2 infection and in patients after COVID-19.
Material and methods: 1,668 people were observed. Over two years, 5,082 SARS-CoV-2 IgG and IgM antibody samples were determined. The concentration of antibodies was assessed in three groups of oncological patients: those undergoing anticancer therapy after contracting COVID-19 and those after vaccination against the SARS-CoV-2 infection.
Results: The obtained results indicate a naturally more significant humoral response in oncological patients who have not been vaccinated and have not undergone anticancer therapy, such as radiotherapy, chemotherapy, or surgical intervention. The above observation applies to patients with breast, lung, and colon cancer, although the response varies significantly depending on the type of cancer.
Summary: The size of the humoral response and the presence of specific antibodies directed against the SARS-CoV-2, IgM, and IgG, in response to the supply of the vaccine antigen or assessed after COVID-19, is an indicator of adequate immune protection against reinfection.
This study highlights for the first time the phenomenon of increased humoral response in response to a viral infection in patients with certain types of cancer that are assumed to be sensitive to oncological therapy, the initiation of which, according to generally accepted principles, was blocked by infection with the SARS-CoV-2. The phenomenon we observe seems to confirm the presence of a "natural" defence potential in a cancer patient's body, in this case, directed against infection with a viral pathogen. A "stronger" antiviral response also seems to explain the asymptomatic course of SARS-CoV-2 infection in some of the above patients. It remains an open question to what extent the SARS-CoV-2 infection weakened the "natural" potential of the anticancer response in these patients.
A Pharmacological Investigation of the TMEM16A Currents in Murine Skeletal Myogenic Precursor Cells
Authors: Sciancalepore Marina , Ragnini Asja , Zacchi Paola , Borelli Violetta , D’Andrea Paola , Lorenzon Paola , Bernareggi Annalisa
Published: January 2024

TMEM16A is a Ca2+-activated Cl- channel expressed in various species and tissues. In mammalian skeletal muscle precursors, the activity of these channels is still poorly investigated. Here, we characterized TMEM16A channels and investigated if the pharmacological activation of Piezo1 channels could modulate the TMEM16A currents in mouse myogenic precursors. Whole-cell patch-clamp recordings combined with the pharmacological agents Ani9, T16inh-A01 and Yoda1 were used to characterize TMEM16A-mediated currents and the possible modulatory effect of Piezo1 activity on TMEM16A channels. Western blot analysis was also carried out to confirm the expression of TMEM16A and Piezo1 channel proteins. We found that TMEM16A channels were functionally expressed in fusion-competent mouse myogenic precursors. The pharmacological blockage of TMEM16A inhibited myocyte fusion into myotubes. Moreover, the specific Piezo1 antagonist Yoda1 positively regulated TMEM16A currents. The findings demonstrate, for the first time, a sarcolemmal TMEM16A channel activity and its involvement at the early stage of mammalian skeletal muscle differentiation. In addition, the results suggest a possible role of mechanosensitive Piezo1 channels in the modulation of TMEM16A currents.
Efficient Neural Networks on the Edge with FPGAs by Optimizing an Adaptive Activation Function
Authors: Jiang Yiyue , Vaicaitis Andrius , Dooley John , Leeser Miriam
Published: January 2024

The implementation of neural networks (NN) on edge devices enables local processing of wireless data but faces challenges such as high computational complexity and memory requirements when deep neural networks (DNN) are used. Shallow neural networks customized for specific problems are more efficient, requiring fewer resources, and resulting in a lower latency solution. An additional benefit of the smaller network size is that it is suitable for real-time processing on edge devices. The main concern with shallow neural networks is their accuracy performance compared to DNNs. In this paper, we demonstrate that a customized adaptive activation function (AAF) can meet the accuracy of a DNN. We designed an efficient FPGA implementation for a customized segmented spline curve neural network (SSCNN) structure to replace the traditional fixed activation function with an AAF. We compared our SSCNN with different neural network structures such as real-valued time delay neural network (RVTDNN), augmented real-valued time delay neural network (ARVTDNN), and deep neural networks with different parameters. Our proposed SSCNN implementation uses 40% fewer hardware resources and no Block RAMS compared to the DNN with similar accuracy. We experimentally validate this computationally efficient and memory-saving FPGA implementation of SSCNN for digital predistortion of RF power amplifiers using the AMD/Xilinx RFSoC ZCU111. The implemented solution uses less than 3% of the available resources. The solution also enables an increase of the clock frequency to 221.12 MHz, allowing the transmission of wide bandwidth signals.
Foraminiferal and Palynological Record of an Abrupt Environmental Change at the Badenian/Sarmatian Boundary (Middle Miocene): A Case Study in Northeastern Central Paratethys
Authors: Peryt Danuta , Gedl Przemysław , Worobiec Elżbieta , Worobiec Grzegorz , Peryt Tadeusz Marek
Published: January 2024

The Badenian/Sarmatian boundary in the Central Paratethyan basins is characterized by a change from open marine conditions during the late Badenian to the assumed brackish conditions during the early Sarmatian. Foraminiferal and palynological results of the Badenian/Sarmatian boundary interval in the Babczyn 2 borehole (SE Poland) showed that the studied interval accumulated under variable, unstable sedimentary conditions. The Badenian/Sarmatian boundary as correlated with a sudden extinction of stenohaline foraminifera is interpreted as due to the shallowing of the basin. The lack of foraminifera and palynomorphs just above the Badenian/Sarmatian boundary can reflect short-term anoxia. The composition of euryhaline assemblages characteristic for the lower Sarmatian part of the studied succession indicates marine to hypersaline conditions.
Nested Markets and the Transition of the Agri-Marketing System towards Sustainability
Authors: Milone Pierluigi , Ventura Flaminia
Published: January 2024

We are currently witnessing a strong global transition towards new, more sustainable models of development and consumption. This transition is both activating and highlighting a series of discrepancies between the various actors in agri-food marketing systems, including the institutions that govern regulatory and trade aspects.
These discrepancies highlight how, on a global level, the agri-marketing system is unable to provide adequate responses to the new principles of sustainability that are increasingly expected by civil society. This inability is often linked to the phenomena of opportunism, information asymmetries and lock-in effects (resulting from the slowness or inability of some sectors or actors to evolve technologically and culturally). The control of all these factors is often ineffective and often involves high transaction costs . These conditions lead the global market into an ongoing state of failure, creating structural holes, in which new forms of exchange are born, in response to the principles mentioned above. We identify these as nested markets: hybrid market forms that, thanks to new information technologies, create a new form of proximity that transcends the classical concept of physical proximity.
This new proximity directly links producers and consumers in relationships based mainly on two substantial values: reciprocity and reputation. Both of these values significantly reduce transaction costs which today play an increasing role in determining the form and repetition of exchanges. This condition is difficult to interpret from classical and neo-classical economic theories. To do so it is necessary to use a multidisciplinary approach. In this article we combine neo-institutional theory and network analysis to interpret phenomena that are increasingly emerging in all areas of the world. Using these two theories, and case studies from Brasil, North America, China and Europe, we try to highlight how the market is not only the place where the price of products and of their quantities are formed. Market is a complex social spaces, where more-or-less stable relationships are formed, based on the values of reciprocity and reputation that determine behaviour and codes of conduct aimed at containing opportunism and encouraging sustainable, autonomous, forms of self-regulation. These relationships are also the driving forces that ensure the ongoing continuation of the exchanges and the diffusion and preservation of knowledge over time and space. These relationships represent the beating heart of nested markets and their dynamic ability to adapt to the continuous changes that occur in the socio-economic and environmental context in which they are rooted. In this way sustainability is built as an expression of the co-production between different actors (producers, consumers, institutions) and natural resources.
EFEKTIVITAS MODEL PEMBELAJARAN KOOPERATIF METODE TTW (THINK,TALK,WRITE) DAN SQ3R (SURVEY, QUESTION, READ, RECITE, AND REVIEW) TERHADAP HASIL BELAJAR GEOGRAFI DAN KEMAMPUAN GEOLITERASI KELAS XI IPS MAN 1 SALATIGA TAHUN AJARAN 2018/2019 (Materi Bonus Dem
Authors: Karismatika Chasanah , Prihadi Singgih , Yusup Yasin
Published: January 2024

The aims of this research to determine (1) differences of effectivity among the application of TTW, SQ3R, and lecture methods, (2) the effectiveness between the SQ3R method and the lecture method, (3) the effectiveness between the TTW method and lecture method, (4) the effectiveness between the TTW method and the SQ3R method in learning outcomes and the geoliteracy abilityof the XI Socialstudents MAN 1 Salatiga Academic Year 2018/2019.

This research is an experimental research (Quasi Experiment) with a pretest-posttest design. The population is the studensts of class XI Social in MAN 1 Salatiga Academic Year 2018/2019. The research sample is cluster random sampling. Data collection techniques using documentation techniques, observation, and tests. The data analysis technique used one-way anava and continued after anava.

The results showed that (1) there were differences in learning outcomes and geoliteracy abilities of students in the use of the TTW, SQ3R, and lecture methods, (2) the SQ3R method was more effective than the lecture method on student learning outcomes and geoliteracy skills, (3) the TTW method is more effective than the lecture method on learning outcomes and the geoliteracy of students, (4) there is no difference in learning outcomes and geoliteracy abilities of students in the use of the TTW and SQ3R methods of the class XI Social MAN 1 Salatiga academic year 2018/2019.
Analisis Potensi dan Partisipasi Masyarakat Dalam Pengembangan Desa Wisata di Kabupaten Karanganyar
Authors: Saputriningsih Mitha , Rindarjono Mohammad Gamal , Ajar Seno Budhi
Published: January 2024

Pariwisata merupakan salah satu sektor penting dalam menunjang percepatan pembangunan nasional. Banyak daerah di Indonesia yang tengah giat menggali potensi pariwisata dengan memanfaatkan sumberdaya alam dan kebudayaan pada masing-masing daerah. Penilaian terhadap potensi wisata dan partisipasi masyarakat sangat penting untuk mendukung pariwisata berkelanjutan. Tujuan dari penelitian ini yaitu untuk mengetahui potensi wisata dan partisipasi masyarakat pada lokasi desa-desa wisata di Kabupaten Karanganyar sehingga  strategi pengembangan yang diambil sesuai dengan kebutuhan dan keadaan pada saat ini. Penelitian ini menggunakan metode deskriptif kualitatif. Hasil penelitian menunjukkan bahwa desa wisata di Kabupaten Karanganyar mempunyai potensi sedang dan tinggi karena tiap desa wisata mempunyai keunikan atraksi sesuai dengan sumberdaya alam dan budaya pada masing-masing desa. Partisipasi masyarakat termasuk ke dalam derajat partisipasi semu yang berarti masyarakat telah di dengar dan ikut mengemukakan pendapat, tetapi tidak ada jaminan bahwa pandangan yang dikemukakan dapat diterima oleh pemegang kekuasaan dan sangat kecil untuk menghasilkan perubahan dalam masyarakat. Strategi pengembangan yang dapat diambil yaitu strategi strengths-threats dengan menjalankan kegiatan wisata sesuai dengan protokol kesehatan yang telah di anjurkan pemerintah dan mencantumkan bukti bahwa kawasan desa wisata merupakan zona hijau agar menghindari penyebaran covid-19.
Pengembangan Media Evaluasi Pembelajaran Games Mobile Learning Pelajaran Geografi Guna Meningkatkan Hasil Belajar Peserta Didik Kelas X IPS Di SMA Negeri 1 Jeruklegi Tahun 2020/2021 (Materi Dasar–Dasar Pemetaan, Pengindraan Jauh dan SIG)
Authors: Dwijayanti Hikmah , Prihadi Singgih , Tjahjono Gentur Adi
Published: January 2024

The research aims to (1) Know the feasibility of mobile learning media and (2) Know the effectiveness of the use of mobile learning media developed to improve learning outcomes for students of class X IPS at SMA Negeri 1 Jeruklegi in 2020/2021. This research method is Research and Development (R&D) or Research and Development. The software used in the evaluation development of m-learning games is Quizizz. The subject consists of material experts, media experts, educators, student assessments, interviews, observations, documentation, and tests.

The results of this study are (1) Development of M-learning Learning Geography based Quizizz is declared feasible to be used in class X IPS learning at SMA Negeri 1 Jeruklegi based on the assessment results from material experts, media experts, teachers and learners respectively – each with a mode score of 4 and 5 that fall into the category of good and excellent in the Likert Scale that has qualified from the minimum limit of m-learning eligibility with a mode score of 3 that fall into the category sufficiently in the Likert Scale as determined by the researchers. (2) Determination of the use of m-learning evaluation media of Games-based Geography learning using Quizizz application is proven to be able to increase the value of pre-test post-test by 26% in experimental class and 23% in control class.

Keywords : Media Evaluation Mobile Learning, Quizizz Learning Outcomes
Application of Fuzzy Logic for Robotic Arm Joint Control of an Explosive Ordnance Disposal Unit
Authors: Fernando Arvin H. , Guillermo Marielet A. , Concepcion II Ronnie S. , Lim Laurence A. Gan , Sybingco Edwin , Bandala Argel A. , Vicerra Ryan Rhay P. , Dadios Elmer P.
Published: January 2024

Precise luffing of payload in mobile cranes is a crucial part of material handling and safety in industrial operations. Explosive ordnance disposal uses a bomb disposal robot to safely disable explosive devices at a safe distance. This robot is a mobile jib crane type with a gripper as an end effector instead of the typical suspension cable with a hook. The common challenge of this crane type is the arm/jib movement sensitivity with respect to tip-over stability of the crane body. This is directly influenced by the payload and constrained by the degree of freedom. This paper presents a control strategy of the joint for luffing such that the back wheels remain in contact with the surface ground and avoid bucking at any given instance of weight change in the payload. Fuzzy logic was applied to control the motor torque and luffing angle of the arm in response to the load and gripper opening size to maintain the tip-over stability margin at the highest value possible. The response curves at different configurations of the two input signals were also analyzed based on the rules set to determine its precision with respect to the expected response curve.
Generation of Rating Matrix Based on Rational Behaviors of Users
Authors: Moriyoshi Kenshin , Shibata Hiroki , Takama Yasufumi
Published: January 2024

This paper proposes a method to generate a synthetic rating matrix based on user’s rational behavior, with the aim of generating a large-scale rating matrix at low cost. Collaborative filtering is one of the major techniques for recommender systems, which is widely used because it can recommend items using only a history of ratings given to the items by users. However, collaborative filtering has some problems such as the cold-start problem and the sparsity problem, both of which are caused by the shortage of ratings in a database (rating matrix). This problem is particularly serious for services that have just started operation or do not have a large number of users. The proposed method generates a rating matrix without missing values using users’ rating probabilities, which are obtained from the distribution of their actual ratings. The final synthetic rating matrix is generated after adjusting its sparsity by introducing missing values. The validity of the proposed method is evaluated by comparing the synthetic rating matrix in terms of the similarity of the distribution of several statistics with that of the real data. The synthetic rating matrix is also evaluated by applying it to recommendation to actual users. The experimental results show that the proposed method can generate the synthetic rating matrix that has similar statistics to the real data, and recommendation models trained with the synthetic data achieve comparable recall to that trained with the real data when using the real data as test data. Based on the results of these experiments, this paper also tries to generate the synthetic rating matrix that contains richer information than the real data by increasing the number of users or reducing the sparsity of the rating matrix. The results of these experiments show the possibility that increasing the information contained in a rating matrix could improve recall.
Reading Recognition Method of Mechanical Water Meter Based on Convolutional Neural Network in Natural Scenes
Authors: Li Jianqi , Shen Jinfei , Nie Keheng , Du Rui , Zhu Jiang , Long Hongyu
Published: January 2024

To satisfy the demand for real-time and high-precision recognition of mechanical water meter readings in natural scenes, a reading recognition method for mechanical water meters based on you only look once version 4 (YOLOv4) is proposed in this paper. First, a focus structure is introduced into the feature extraction network to expand the receptive field and reduce the loss of original information. Second, a ghost block cross stage partial module is constructed to improve the feature fusion of the network and enhance the feature representation. Finally, the loss function of YOLOv4 is improved to further enhance the detection accuracy of the network. Experimental results show that the mAP@0.5 and mAP@0.5:.95 of the proposed method are 97.9% and 77.3%, respectively, which are 1.6% and 6.0% higher, respectively, than those of YOLOv4. Additionally, the number of parameters and computation amount of the proposed method are 48.6% and 36.8% lower, respectively, whereas its inference speed is 27% higher. The proposed method is applied to assist meter reading, which significantly reduces the workload of on-site meter-reading personnel and improves work efficiency. The datasets used are available at https://github.com/914284382/Mechanical-water-meter.
EVALUASI FIRE SAFETY MANAGEMENT PADA GEDUNG LABORATORIUM PGSD UNIVERSITAS SAMUDRA
Authors: Chayril  , Firdasari  , Purwandito Meilandy
Published: January 2024

Perkembangan pembangunan gedung semakin lama semakin meningkat. Tingginya peningkatan pembangunan tersebut, harus didukung dengan adanya penerapan sistem proteksi terhadap bangunan gedung guna mengantisipasi kecelakaan dan bencana, salah satunya adalah dengan penerapan sistem proteksi kebakaran. Adapun tujuan yang ingin dicapai dalam penelitian ini ialah untuk mengetahui tingkat kesesuaian dan keandalan manajemen proteksi kebakaran di Gedung laboratorium PGSD Universitas Samudra. Metode yang digunakan dalam penelitian ini berupa Metode analisis deksriptif, bertujuan untuk mengetahui penerapan sistem proteksi kebakaran terhadap bahaya kebakaran, melalui pengamatan langsung, berdasarkan peraturan Menteri pekerjaan Umum No.26/PRT/M/2008 dan lembar penilaian Pd-T-11-2005-C, tentang Pemeriksaan Keselamatan Keabakaran Bangunan Gedung. Hasil dari penelitian ini, pada penerapan sarana penyelamatan menghasilkan nilai bobot nilai 2,163 ≈ 2 yang menyatakan kondisi penerapan fire savety management Laboratorium PGSD Universitas samudra sudah sesuai dengan peraturan, dan sistem proteksi pasif menghasilkan bobot nilai 2,542 ≈ 3 yang menyatakan, kondisi penerapan fire savety management Laboratorium PGSD Universitas samudra sudah sangat sesuai dengan peraturan, sedangkan untuk perhitungan, Nilai Keandalan Sistem Keselamatan Bangunan (NKSKB) sebesar 77,34 % hal ini menunjukan bahwa nilai keandalan bangunan Laboratorium PGSD Universitas Samudra cukup.
TINJAUAN PERHITUNGAN RAB PEMBANGUNAN GEDUNG BERDASARKAN PERMEN PUPR NO. 1 TAHUN 2022 (Pada Pembangunan Ruang Kelas Baru Madrasa Tsanawiya Negeri 6 Maluku Tengah)
Authors: Patty Marvin Patrick , Frans Pieter Lourens , Gaspersz Willem
Published: January 2024

ABSTRACT

Cost budget plan is a careful cost budget planning needed in the implementation of the construction of a project that contains budget details in the form of workers' wages, material costs and tools to be used. The Ministry of Public Works issued an Analysis of the Unit Price of Work in 2016 and updated with the Analysis of the Unit Price of Work 2022 issued on January 5, 2022 through Public Works and Public Housing Regulation number 1 of 2022. In the new classroom construction project, MTS N 6 Central Maluku uses the calculation of the project cost budget according to Unit Price Analysis of Work Minister of Public Works and Public Housing number 28/PRT/2016, this is because planning was carried out before the issuance of Unit Price Analysis of Work 2022. With the Unit Price Analysis of Work update in 2022, the author will use Public Works and Public Housing Regulation number 1 of 2022 as a basis for review to analyze the Cost Budget Plan for the MTS N 6 Central Maluku project.

 

Keywords: Cost Budget Plan, Unit Price Analysis of Work, Public Works and Public Housing Regulation number 1 of 2022
ANALISIS BANGKITAN DAN PEMODELAN PERGERAKAN MAHASISWA UNIVERSITAS PEMBANGUNAN NASIONAL "VETERAN" JAWA TIMUR
Authors: Citrawati Dwi , Sholichin Ibnu , Estikhamah Fithri
Published: January 2024

Masalah di bidang transportasi sering timbul akibat pesatnya pertumbuhan penduduk yang berbanding lurus dengan meningkatnya jumlah kendaraan, juga terbatasnya fasilitas transportasi. Dalam mengatasi masalah tersebut, diperlukan upaya dalam perencanaan transportasi. Permasalahan laju pertumbuhan penduduk juga berpengaruh pada pertumbuhan sistem pendidikan. Berdasarkan pola pergerakan masyarakat yang cenderung bergerak menuju pusat kegiatan yang dalam hal ini adalah perguruan tinggi, maka akan berpengaruh pula pada kinerja sistem transportasi di sekitar perguruan tinggi. Universitas Pembangunan Nasional “Veteran” Jawa Timur sebagai perguruan tinggi, telah membuka program studi baru yang ditunjang dengan pembangunan gedung baru. Adanya hal tersebut berpotensi menambah daya tampung mahasiswa. Hal ini berpotensi menimbulkan masalah lalu lintas pada ruas jalan di sekitar kampus. Maka penelitian ini dilakukan untuk mengetahui jumlah bangkitan pergerakan mahasiswa Universitas Pembangunan Nasional “Veteran” Jawa Timur yang dihitung dengan matriks asal tujuan menggunakan metode furness yang dipengaruhi oleh faktor-faktor bangkitan perjalanan. Persamaan model bangkitan didapatkan dengan bantuan perangkat lunak SPSS. Dari analisis regresi linear berganda, penelitian ini mendapatkan hasil berupa persamaan model bangkitan Y = 280,429 – 11,355 X1 – 1,873 X3, dimana X1 adalah usia dan X3 adalah jarak tempuh, sedangkan perkiraan jumlah mahasiswa pada umur rencana 5 tahun adalah sebesar 30.098 mahasiswa.
A szemantikailag problematikus határozói mondatrészek oktathatóságáról
Authors: Mayer Péter
Published: January 2024

A tanulmány által vizsgált magyar nyelvi tankönyvek nem foglalkoznak azzal a grammatikai kategóriával, amely más korábbi kiadványokban állandó határozóként volt feltüntetve. Az aszemantikus vonzatoknak is nevezett csoport közoktatásbeli mellőzését feltételezhetően a definíciójának a bonyolultsága, valamint az idesorolt szintagmatagok magas fokú szemantikai diverzitása indokolja. A tanulmány első része a határozók legfontosabb anyanyelv-pedagógiai kérdéseit tárgyalja. A második része az említett aszemantikus csoporthoz, tágabb értelemben pedig a jelentésük szempontjából absztrakt minőségű konstrukciókhoz kínál fel néhány könnyen kivitelezhető, példákkal szemléltetett, elméletfüggetlen gyakorlatot. Mindemellett tanácsokat is ad arra az esetre, ha megkerülhetetlenné válna e speciális bővítménytípus részletes ismertetése az anyanyelvi órán. A bemutatott metodikai ötletek a kérdéses mondatrésztípusba sorolt elemek analízisében és egyúttal a metaforizáció témakörének a megalapozásában nyújthatnak segítséget.
Időskorúak, szeniorok olvasási kedve, olvasási palettája, olvasáshoz való viszonya
Authors: Gombos Péter , Péterfi Rita , Csima Melinda , Domokos Áron
Published: January 2024

A tanulmány az elméleti alapok bemutatása után elsősorban két kutatás eredményeire hivatkozva próbál meg általános érvényű megállapításokat tenni az időskorúak olvasásával, olvasáshoz, irodalomhoz való viszonyával kapcsolatban. A kutatás az alapvető kérdések mellett (például mennyit és mit olvasnak az idősek) különös figyelmet szentel a korosztály műfaji érdeklődésének, a „nem olvasóknak”, illetve a nem olvasás indokainak ebben a klaszterben. Az eredmények közül kiemelendő, hogy a megkérdezettek – miközben alig 2%-uk rendelkezik e-olvasóval – 12%-a olvasott már könyvet laptopon, illetve az is, hogy a korosztály műfaji érdeklődése láthatóan megváltozott a korábbi mérésekben tapasztaltakhoz képest. Fontos adat, hogy a saját bevallásuk szerint sem olvasók majdnem negyede a meggyengült látására hivatkozott, ugyanakkor egyértelműen mérhető a televízió erős „elszippantó hatása” is a könyvkultúrától.
„Hogy mondjam?” – a nyelvfejlődési zavar jelensége és hatása a fejlődésre
Authors: Kas Bence , Lukács Ágnes
Published: January 2024

A nyelvfejlődési zavar (NYFZ) egy olyan rejtett fejlődési zavar, amely az anyanyelv elsajátításának, beszédben és írásban való használatának a nehézségeiben mutatkozik meg. Ez a zavar a gyerekek kb. 7%-át érinti, többségüknél felnőttkorban is fennmarad, és hosszú távon befolyásolja a fejlődést a társas kommunikáció és a verbális tanulás korlátozottsága miatt. Az érintett gyerekek megsegítésében fontos szerepe van a szülők és a szakemberek tájékoztatásának, a zavar korai felismerésének, a célzott logopédiai terápiának és a támogató családi és pedagógiai környezetnek. A tanulmány bemutatja a NYFZ jelenségkörét, a korai jeleket, a legjellemzőbb tüneteket, illetve a zavar kialakulásának főbb okait. Kitér a NYFZ rejtett természetéből fakadó problémákra, a felismerés nehézségeire, a tipikus hosszabb távú következményekre. Sorra veszi a logopédiai ellátás alapvető lépéseit, illetve a köznevelési helyzetekben alkalmazható megfigyelési szempontokat és a támogató stratégiák alapjait.
Analysis of Effective Strategies and Teacher Motivation in Improving Literacy and Numeracy at State Elementary School Besowo 5 Kediri: Findings and Implications
Authors: Afandi 'Alia Nur Husna , Nafingah Hanim , Pusnawati Yeni , Triwahyuni Yeni , Handayanto Supriyono Koes , Kusumaningrum Shirly Rizki
Published: January 2024

State Elementary School Besowo 5, Kepung District, Kediri, is an elementary school that succeeded in achieving high literacy and numeracy results on the education report card and achieved recognition as the Best BOSP Performance in Kediri Regency, even though the school experienced infrastructure challenges such as limited road access and limited cellular signal. The aim of this research is to explore the challenges, strategies and collaborative efforts of teachers in improving students' literacy and numeracy skills. The method in this research uses case studies through observation, interviews and document analysis. The analysis technique of this research uses triangulation techniques. Through the use of educational report cards as a basis, SDN Besowo 5 teachers provide special additional hours by utilizing a variety of literacy and numeracy materials, implementing various learning strategies, including guidance on finding keywords, Polya steps, using innovative worksheet, involving students as peer tutors, and provide treatment according to students' abilities. Apart from that, teachers also collaborate. Teachers' motivation for collaboration includes, among other things, improving school achievement, developing knowledge, and strengthening the school's positive image in the eyes of the community.
APR-246 enhances the anticancer effect of doxorubicin against p53-mutant AsPC-1 pancreatic cancer cells
Authors: Alhammer Ali Haider , Al-juboori Shaymaa Ismael , Mudhafar Shahad Ali
Published: January 2024

سرطان البنكرياس هو مرض ذو معدل وفيات مرتفع، ولا يزال التشخيص المبكر لسرطان البنكرياس يمثل تحديًا. يظل معدل البقاء النسبي لمدة 5 سنوات أقل من 8%، والاستراتيجيات العلاجية غير فعالة في زيادة معدلات بقاء المريض على قيد الحياة. في خلايا سرطان البنكرياس، ارتبطت مقاومة العلاج بالتغيرات الجينية التي تؤدي إلى ظهور مسارات خلوية شاذة؛ ولذلك، هناك ما يبرر ايجاد استراتيجيات جديدة لعلاج هذا المرض. هنا، سعينا لاستكشاف مُنشط p53، APR-246، إما كدواء أحادي أو مدمج مع دوكسوروبيسين في خط خلايا AsPC-1  ذات بروتين p53 المتحول  (p53-mut). تمت دراسة السمية الخلوية لـدوائي APR-246 ودوكوروبيسين اما منفردة أو مجتمعة في خط خلايا AsPC-1 مع اختبار MTT. تم حساب مؤشر معامل قياس التأزر (Combination Index) بناءً على نهج Chou و Talalay باستخدام برنامج CalcuSyn. تم تقييم موت الخلايا المبرمج بعد تصبيغها باستخداممادة الاكريدين اورنج/ايثيديوم برومايد (AO/EB).  تم فحص التغيرات المورفولوجية تحت المجهر المقلوب بقوة تكبير 200 مرة  تم قياس كمية التعبير الجيني باستخدام فحص النسخ العكسي الكمي PCR  . أظهر APR-246 وحده تأثيرات متواضعة مضادة للتكاثر، في حين أظهر دوكسوروبيسين مع APR-246 تأثيرات تآزرية مرتبطة بالتغير المورفولوجي؛ لم يلاحظ أزدياد في نسبة موت الخلايا المبرمج في الخلايا المعاملة بكلا العقارين و هذا ما اكدته مستويات جين ال NOXA. في الختام، APR-246، سواء كان العلاج وحيدًا أو مقترنًا بـدوكسوروبيسين، كان يعيق تكاثر خلايا AsPC-1  ذات p53-mut، وهناك ما يبرر إجراء المزيد من الأبحاث في المختبر وفي الجسم الحي.
Segmentation and Isolation of Brain Tumors Using Different Images Segmentation Methods
Authors: Hussain Ahlam A. , Mahal Sarmad.H. , Ismael Ban S.
Published: January 2024

أورام الدماغ هي نمو غير طبيعي أو كتلة من الخلايا في أنسجة المخ او ما حولها وتكون نوعان إما خبيثة (سرطانية) أو حميدة (غير سرطانية) ، يمكن لأورام الدماغ أن تصيب الأطفال وكذلك البالغين. وقد تؤثر أورام الدماغ على وظائف الدماغ البشري إذا نمت بشكل كبير بما يكفي للضغط على الأنسجة المحيطة. يعتبر ورم الدماغ خطيرًا بطبيعته ويهدد الحياة. يعتمد تشخيص ورم الدماغ على الأطباء المتخصصين، ولكن في بعض الأحيان يعطي أطباء الدماغ تشخيصًا مختلفًا اعتمادًا على التحديد الدقيق لحجم الورم وكتلته. لتجنب ذلك، في كثير من الحالات يتم استخدام الكمبيوتر كوسيلة مساعدة لتجزئة وعزل ورم الدماغ. تقنية التجزئة في معالجة الصور هو عملية تقسيم المنطقة إلى أجزاء مختلفة اعتمادًا على معايير مختلفة مثل الكثافة والتجانس وغيرها. في هذه الدراسة، تم استخدام العديد من تقنيات التجزئة لتجزئة أورام الدماغ من صور التصوير بالرنين المغناطيسي وهي: طرق الكشف عن الحواف (سوبل، وبريويت، وكانى)؛ طريقة العتبة باستخدام قيم عتبة مختلفة (T) ؛ وطريقة التجميع K-Means بأعداد مختلفة من العناقيد (K). من نتائج طرق التجزئة، استنادا على النتائج النهائية، كان من الواضح أن طرق الكشف عن الحواف فشلت في تجزئة وعزل منطقة الورم، اعطت طريقة تجزئة العتبة نتيجة جيدة عند استخدام T = 150،200 لبعض الحالات. في حين أن طريقة التجزئة K-Means كانت ناجحة في تجزئة وعزل ورم الدماغ لحالة واحدة عند استخدام عنقودين (K = 2).
Estimation of some biochemical markers in acute myeloid leukemic patients before and after chemotherapy
Authors: Mohsen Ayinda Mariwan , Ali Zeyan Abdullah
Published: January 2024

الهدف من هذه الدراسة هي قياس مستويات كل من مالونديالديهيد(MDA)  ، البيروكسينيتريت(PN)  ، الهوموسيستين(HCY)  وحمض اليوريك(UA)  في امصال مرضى المصابين بابيضاض الدم النخاعي الحاد(AML)  (قبل وبعد تناول العلاج الكيميائي) ومقارنة النتائج مع مستويات مجموعة الاصحاء. اشتملت الدراسة الحالية على  120   عينة تتراوح أعمارهم بين 18-70  سنة يعانون من  (AML)اضافة الى  40  من مجموعة الاصحاء مع تطابق السن. تم جمع العينات من مرضى المصابين بسرطان الدم النخاعي الحاد ومجموعة الاصحاء في مستشفى ناناكالي في أربيل وتم تصنيفهم إلى أربع مجاميع: المجموعة 1 (G1) والتي تشمل  40  من مجموعة الاصحاء، المجموعة 2 (G2) تشمل  40  مرضى المصابين بسرطان ابيضاض الدم النخاعي الحاد قبل تناول العلاج الكيميائي (الحالات المشخصة حديثًا) ، تضم المجموعة 3 (G3)  40  مريضًا  مصابا بسرطان الدم النخاعي الحاد بعد تناول العلاج الكيميائي (دورة واحدة) والمجموعة 4 (G4) تشمل  40  مريضًا مصابا بسرطان الدم النخاعي الحاد بعد تناول العلاج الكيميائي لأكثر من دورة واحدة. أظهرت النتائج ارتفاعًا معنويا في مستويات كل من (MDA و UA) ، وزيادة معنوية في مستوى PN في (G2 و G3 و G4) عند مقارنتها  مع (G1) ، لكن مستوى الهوموسيستين كانت مرتفعة جدا و بشكل ملحوظ في (G2) عند مقارنتها  مع (G1) ، بينما انخفض مستوى الهوموسيستين بشكل كبير في G3) و  (G4عند مقارنته مع G1. اضافة إلى ذلك ، يظهر تحليل الارتباط أن هناك ارتباطًا إيجابيًا كبيرًا بين مالونديالديهيد مع بيروكسينيتريت (r=0.4638) ، مالونديالديهيد مع الهوموسيستين (r=0.4752) ، مالونديالديهيد مع حمض اليوريك (r=0.3621). تشير المنطقة المرتفعة تحت منحنى بياناتنا إلى أن تحديد هذه الباراميترات قد يكون مفيدًا في كشف AML.
تقنية كرموتوغرافيا السائل ذات الاداء العالي ذوالطور العكسي مع كاشف الاشعة الفوق البنفسجية لتقدير ادوية الايبو بروفين والتنوكسيكام في الصورة النقية و الاقراص الدوائية
Authors: Mhdi Allaa Hussein , Abed Sadeem Subhi
Published: January 2024

استخدمت تقنية  الكروماتوغرافيا السائل ذات الأداء العالي  ذات الطور العكسي مع كاشف الأشعة فوق البنفسجية حساس بدرجة كافية لقياس الكمية الضئيلة للدواء التنوكسيكام والايبو بروفين . في الدراسة الحالية ، تمت المعايرة بطريقة بسيطة وسريعة لتقدير الدوائين في عينات نقية وصيدلانية. تم فصل المواد التحليلية على عمود من الطور الساكن كاربون 18 ( 150 ملمتر في 4،6 ملمتر وقطر 5 مايكروميتر) . يشمل الطور المتحرك على الاسيتو نايتريل و الماء المحمض ( 0.7 مل من حامض الفسفوريك  في 1000 مل من الماء ) وسرعة  تدفق 1 مل بالدقيقة وحقن نموذج 20 مايكروليتر في درجة حرارة الغرفة .نتائج الفصل اجريت على المادة النقية اولا ثم على الاقراص الدوائية  لكلا الدوائين  ثم عمل منحني معايرة لكل مادة نقية باخذ 5 تراكيز . وتم التاكد من تميز الطريقة  وخطية العلاقة  من حيث الدقة والضبط  جيدة  وحد الكشف كان 1.5677 جزء جزء من المليون للتنوكسيكام  و 0.7911 جزء جزء من المليون لللايبوبروفين  للتركيزالمعين لكل دواء ونتائج هذه الطريقة كانت ملائمة  لتقدير كلا الدوائين في  كميات ضئيلة وبالصورة النقية والدوائية.
Analyzing the Two-Phase Heterogeneous and Batch Service Queuing System with Breakdown in Two-Phases, Feedback, and Vacation
Authors: Niranjan S.P. , Latha S. Devi
Published: January 2024

يصل العملاء إلى النظام بكميات كبيرة وفقًا لعملية بواسون بمعدل α1. تنقسم عملية الخدمة المجمعة إلى مرحلتين تسمى الخدمة الأساسية الأولى (FES) والخدمة الأساسية الثانية (SES) مع الحد الأدنى لسعة الخادم "a" والحد الأقصى لسعة الخادم "b" عندما يفشل الخادم، أثناء FES أو SES، لن تتم مقاطعة عملية الخدمة. يتم تنفيذه بشكل مستمر للدفعة الحالية عن طريق القيام ببعض الترتيبات الاحترازية الفنية. العميل الذي يحتاج إلى تعليقات بعد اكتمال SES سيتم نقله فورًا للخدمة بواسطة الخادم مع احتمال β.
Mathematical Modeling of Tumors Growth: Competition based on Gompertz model in Two Dimensions
Authors: Jabbar Aya Khamis , Al-saedi Hayder M.
Published: January 2024

بالنسبة لهذه المقالة، تمت دراسة المنافسة بين الخلايا السرطانية داخل جسم الإنسان اعتمادًا على نمو جومبيرتز. تعتمد هذه النماذج على نوعين من الخلايا السرطانية، وتنمو هذه الخلايا إلى حد ما يسمى بالقدرة الاستيعابية. يتم أخذ القدرة الاستيعابية في الاعتبار وتعريفها على أنها عدد الخلايا الذي يصل اليه الورم في النهاية. عندما يحدث هذا، يتقلب معدل النمو، إما أن يكون أعلى قليلاً أو أقل قليلاً من القدرة الاستيعابية. ستغطي هذه الدراسة جوانب النمذجة الرياضية لنمو جومبيرتز وطريقة لتحديد كيفية المنافسة لنموالورام وما إذا كانت تؤدي إلى الاستقرار أو عدم الاستقرار. يتضمن البحث معادلات نمو تظهر نوعين متنافسين يؤديان إلى الانقراض أو التعايش أو ظهور نوع متفوق على الآخر.
A One-Dimensional Convolutional Neural Network for Fast Predictions of the Oil-CO2 Minimum Miscibility Pressure in Unconventional Reservoirs
Authors: Sun Hao , Chen Zhangxin
Published: January 2024

Miscible carbon dioxide (CO2) injection has proven to be an effective method of recovering oil from unconventional reservoirs. An accurate and efficient procedure to calculate the oil-CO2 minimum miscibility pressure (MMP) is a crucial subroutine in the successful design of a miscible CO2 injection. However, current numerical methods for the unconventional MMP prediction are very demanding in terms of time and computational costs which result in long runtime with a reservoir simulator. This work proposes to employ a one-dimensional convolutional neural network (1D CNN) to accelerate the unconventional MMP determination process. Over 1,200 unconventional MMP data points are generated using the multiple-mixing-cell (MMC) method coupled with capillarity and confinement effects for training purposes. The data set is first standardized and then processed with principal component analysis (PCA) to avoid overfitting. The performance of the proposed model is evaluated with testing data. By applying the trained model, the unconventional MMP results are almost instantly produced and a coefficient of determination of 0.9862 is achieved with the testing data. Notably, 98.58% of predicting data points lie within 5% absolute relative error. This work demonstrates that the prediction of unconventional MMP can be significantly accelerated, compared with the numerical simulations, by the proposed well-trained deep learning model with a slight impact on the accuracy.