bluuebunny/crossref_metadata_2025 huggingface dataset:
Technology Mining for Intelligent Chatbot Development
Authors: Chao Min-Hua , Trappey Amy J.C. , Wu Chun-Ting , Su Yi-An
Published: October 2021

Natural language processing (NLP) is an indispensable part of advancing the AI era, especially in the realm of the human-computer interface/interaction (HCI) for all state-of-the-art software applications. NLP enables interfaces between machines and humans allowing machines/computers/systems to understand human languages and engaging in dialogues. An intelligent chatbot development must incorporate NLP technologies to allow the understanding of users’ utterance and responding in understandable sentences in versatile scenarios. This research investigates the emerging technological trend of intelligent chatbot development. The systematic trend analysis is described in the research. First, patents related to intelligent chatbot domain are retrieved using a well-defined search query. The queries are derived from the knowledge ontology, which is extracted using text-mining algorithms - key term frequency analysis, clustering for sub-domain identification, and Latent Dirichlet Allocation (LDA) for topic modelling. Afterwards, the management and technology maps of a patent portfolio, such as patenting trends and technology function matrix, are extracted and drawn. The technology trend analysis also investigated the distributions of the relevant patent claims for specific industries.
Exploring the Transition from Preventive Maintenance to Predictive Maintenance Within ERP Systems by Utilising Digital Twins
Authors: Damant Liam , Forsyth Amy , Farcas Ramona , Voigtländer Melvin , Singh Sumit , Fan Ip-Shing , Shehab Essam
Published: October 2021

Over the years, there has been an advancement in how manufacturing companies conduct maintenance. They have begun transitioning from Preventive Maintenance (PM) to Predictive Maintenance (PdM). With the introduction of technologies such as Digital Twin (DT), Internet of Things (IoT), and Intelligent Manufacturing (IM), the world is rapidly changing, thus allowing companies to optimise existing processes, products and reduce costs. The existing literature offers limited investigations and best practices in the end-to-end optimisation for maintenance transformation. The current paper intends to explore (a) the transition from PM to PdM and (b) the utilisation of DTs and IM for maintenance optimisation. The paper articulates the scope and features of end-to-end maintenance optimisation for asset uptime and cost benefits. The findings can help industries understand the introductions and advancements of technologies for predictive maintenance and end-to-end optimisation with the benefit of investigating and illustrating how companies can move forward.
Facial Expression Recognition and Image Description Generation in Vietnamese
Authors: Lam Khang Nhut , Nguyen Kim-Ngoc Thi , Nguy Loc Huu , Kalita Jugal
Published: October 2021

This paper discusses a facial expression recognition model and a description generation model to build descriptive sentences for images and facial expressions of people in images. Our study shows that YOLOv5 achieves better results than a traditional CNN for all emotions on the KDEF dataset. In particular, the accuracies of the CNN and YOLOv5 models for emotion recognition are 0.853 and 0.938, respectively. A model for generating descriptions for images based on a merged architecture is proposed using VGG16 with the descriptions encoded over an LSTM model. YOLOv5 is also used to recognize dominant colors of objects in the images and correct the color words in the descriptions generated if it is necessary. If the description contains words referring to a person, we recognize the emotion of the person in the image. Finally, we combine the results of all models to create sentences that describe the visual content and the human emotions in the images. Experimental results on the Flickr8k dataset in Vietnamese achieve BLEU-1, BLEU-2, BLEU-3, BLEU-4 scores of 0.628; 0.425; 0.280; and 0.174, respectively.
Category of CFR(Y)C and Weak Topos1
Authors: Yang Shao-Jun , Huang Xinyi
Published: October 2021

Topos theory plays an important role in modern mathematics. It can be viewed as a generalization of set from the category aspect. However, the category of all fuzzy sets do not form topos. In order to investigate the category properties about fuzzy sets, the notion of weak topos is introduced. Factor space is an effective approach in knowledge representation and factor rattan is a crucial concept of a factor space. Rattans over Y could be viewed as an abstraction of factor rattan. In addition, the category of rattans over Y is not a topos. In this paper, two comments about the paper titled “Factor rattans, category FR(Y), and factor space” (J MATH ANAL APPL, 1994) are presented, and the notion of rattan over Y is revised to complete rattan over Y. The corresponding category is denoted CFR(Y). Topoi properties of the functor category CFR (Y)C are investigated and it is proved that CFR (Y)C is a weak topos, but not a topos.
Securing Mobile Adhoc Networks from Black-Hole Attacks
Authors: Taranum Fahmina , Khan Khaleel Ur Rahman
Published: October 2021

MANETs are in-secure and vulnerable to attacks, as it lacks a central trusted authority. Providing security to such a network becomes an essential task and formulate the origin of the proposed work. The proposed system attempts to secure MANETs using route validation and cryptographic techniques. One of the most crucial, and primary concerns in today’s times is to be able to detect an attacker at its initial stages. With this focus point in mind, the approach used is to prevent such an attacks by detecting in initial stage and preventing from network degradation. The novelty of the proposal is the use of cryptographic techniques for improving the security, along a reverse-AODV for reducing path fail correction, and machine learning concepts for validation of results. Many of the existing malware detection techniques proposed by the researchers were executed either on machine independent platform, or on an available dataset with machine dependent approaches. This drawback has been addressed in the existing proposal, where in machine learning is used with self-generated data-set, to eliminate contingent problems. The proposed system includes a network that is free from malware. Justification of the results were generated using classifier tools that were trained with the obtained dataset. For secured communication, an Elliptical curve cryptographic algorithm is applied to reverse ad-hoc on-demand distance vector with reverse multiple route replies that have been generated from the destination to the source node. An investigation to ensure the correct delivery of data can be done by diverting the traffic through the shortest alternative secured path. The metrics used for statistical analysis include average transmission-delay, overhead, packet forwarding rate and packet- delivery-rate, based on which the conclusion is theorized for the detection. The major finding includes the process of selecting an appropriate condition for detecting a malicious node, observing the network behavior with varying number of suspicious nodes and then validating the correctness. The implementation gives us varied results, both when the suspicious node is deferred for some time, and then on its complete elimination. The limitation of the proposal is that the suspicious nodes are uncoordinated.
Knowledge Map Reasoning Technology Based on Complex Network
Authors: Dai Xiang , Wei Yongchao
Published: October 2021

In recent years, with the rapid development of artificial intelligence technology, knowledge mapping research based on data mining, machine learning and knowledge engineering has attracted the attention of a large number of researchers. Knowledge mapping has important theoretical value and practical significance for the development of artificial intelligence and machine cognitive intelligence. In recent years, researchers have achieved a lot of excellent research results in the field of knowledge mapping technology, but there are still some problems to be solved. This paper studies the construction technology of knowledge map based on social network, mainly discusses the problems of entity acquisition, entity disambiguation, relationship completion, relationship reasoning and knowledge conflict resolution. The research results of this paper can provide reference for intelligent applications such as intelligent information retrieval, dialogue system and intelligent recommendation.
Semantic Supervised Training for General Artificial Cognitive Agents
Authors: Dushkin Roman V. , Stepankov Vladimir Y.
Published: October 2021

The article describes the authors’ approach to the construction of general-level artificial cognitive agents based on the so-called «semantic supervised learning». Within this approach in accordance with the hybrid paradigm of artificial intelligence, both machine learning methods and methods of the symbolic approach («good old-fashioned artificial intelligence») are used. A description of current problems with understanding of the general meaning and context of situations in which narrow AI agents are found is presented. The definition of semantic supervised learning is given and its relationship with other machine learning methods is described. In addition, a thought experiment is presented, which shows the essence and meaning of semantic training with a teacher, which makes it possible to «educate» a general-level AI agent. It opens the opportunity to apply not only general-level knowledge about the world around the agent, but also introduce the personal experience, which, according to the authors, will lead to a full understanding of the context and, ultimately, to the construction of general artificial cognitive agents. The article also provides a possible architecture for an artificial cognitive agent that can implement semantic supervised learning. The novelty of the work lies in the authors’ approach to combining various methods of artificial intelligence within the hybrid paradigm. The relevance of the work is based on the ever-increasing interest in general-level artificial intelligence methods in science, technology, business and world politics. The article is theoretical. The article will be of interest to specialists in the field of artificial intelligence (especially in the direction of building artificial general intelligence), philosophy of consciousness, and in general to all those who are interested in up-to-date relevant information about the approaches and methods of implementing general artificial cognitive agents.
A Theorem About the Existence of Minimax Rules for Statistical Decision Problems with Trapezoidal Fuzzy Losses
Authors: Shvedov Alexey S.
Published: October 2021

This paper considers the problem of choice of an optimal decision under unknown state of nature when losses are not known exactly for some or all decisions and some or all states of nature. However, it is possible to determine probabilities for all states of nature on the basis of statistical data. So, there are two kinds of uncertainty, randomness and vagueness. That is why both methods of the probability theory and methods of the theory of fuzzy sets are used. There is no a unified approach to choice of an optimal decision even in the classical statistical decision theory. One of existing approaches is to use minimax decision rules when losses are crisp. In this paper, the approach is generalized for problems with trapezoidal fuzzy losses. A theorem about the existence of a minimax decision rule is proved when the set of all possible states of nature is finite.
An Optimized Clustering Algorithm for Contour Data
Authors: Chu Yucheng , Wang Lizhen
Published: October 2021

The initial center’s selection of the traditional K-means algorithm is random. It makes the algorithm instability. Traditional clustering methods are hard to apply to the clustering of contour data. The data from the contour data set forms the contour shape, but the cluster center is not on the contour. The final cluster center is in the inner center of the contour. Using K-means algorithm directly is not able to handle this kind of data well. In order to optimize the initial clustering center of the contour data, and in order to solve the problem of contour data clustering. Based on the high density area may be initial clustering centers. And under the thought of the farther apart distance the more likely belonged to different clustering. In this paper, an algorithm of contour data clustering is proposed. This algorithm can obtain better initial central for contour data, so as to improve the clustering effect of contour data. Firstly, the algorithm calculates the distance between the samples. And based on the premise of the two farthest points most probability does not belong to the same class. The algorithm finds out the farthest two points according to the sample distance. With one point as the center, find the point closest to the point to join the point set. Until the data set number greater than or equal to α number (α is the ratio of the number of samples to the number of clusters). Calculate the average of all points as the initial cluster center. Repeat the above steps to get K initial cluster centers. Then the final clustering calculation is carried out according to the K-means algorithm. After the experiment on the experimental data set, the improved algorithm has a strong stability. The initial clustering center is uniformly discrete. And the clustering results have a high accuracy and have a good F1 value. The improved algorithm solves the clustering problem of contour data well.
Real Time Warning Model of Transmission Tower Tilt Based on Multi-Sensor Data
Authors: Hu Xie , Pei Huikun , Liu Bingcai , Wang Chen , Hao Changjin
Published: October 2021

Transmission line operation environment is complex, prone to tilt collapse accident, so a transmission tower tilt real-time early warning model based on multi-sensor data is established to judge whether the tower is stable operation by detecting the tilt state of the early warning tower. The pressure and inclination sensors are deployed at different positions of the transmission tower to collect the inclination and stress of the tower in real time, and transmit them to the remote monitoring terminal through the wireless network to send out an alarm. The operators can timely adjust according to the alarm situation to maintain the safe operation of the transmission line. The experimental results show that the model can realize the real-time warning of transmission tower tilt, the measurement accuracy can meet the needs of comprehensive detection of tower state, and the application can effectively ensure the safety of staff and reduce the work intensity.
A Critique of the Lack of Remote Rehabilitation Services Before and After the COVID-19 Epidemic in Iran
Authors:   Department of Rehabilitation, Neuromuscular Rehabilitation Research Center, Semnan University of Medical Sciences, Semnan, Iran., Mohammadi Roghayeh , Salehi Keyvan ,   Department of Curriculum Planning, Faculty of Education and Psychology, University of Tehran, Tehran, Iran., Mirshoja Mina Sadat ,   Department of Rehabilitation, Neuromuscular Rehabilitation Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Published: October 2021

N/A
Hyperlipidemia and the Role of Blood Lipids According to Iranian Traditional Medicine
Authors:   Department of Traditional Medicine, Traditional and Complementary Medicine Research Center (TCMRC), School of Medicine, Arak University of Medical Sciences, Arak, Iran., Niknafs Alireza , Rezvanfar Mohamad Reza ,   Departement of Internal Medicine, Endocrinology and Metabolism Research Center, School of Medicine, Arak University of Medical Sciences, Arak, Iran., Salehi Mehdi ,   Department of Traditional Medicine, Traditional and Complementary Medicine Research Center (TCMRC), School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Published: October 2021

Objective: The first and most common cause of death in the world is due to cardiovascular diseases, and hyperlipidemia is one of the important and a critical controllable risk factors for these diseases. The connection between fat metabolism and a wide range of diseases, side effects of chemical drugs, and the increasing attention to the use of natural remedies reveal the necessity of further attention to the viewpoints of other schools of medicine, including complementary medicine. This review study aims to interpret hyperlipidemia from the perspective of Iranian Traditional Medicine (ITM). Methods: This is review study conducted based on a library method using the keywords related to hyperlipidemia to collect data through searching in online databases and ITM books. The data were analyzed based on the content analysis method. Results: Hyperlipidemia is mainly diagnosed by laboratory findings and often have no clear clinical symptoms. According to ITM, for diagnosing hyperlipidemia, attention should be paid to the role of liver, heart, and stomach along with the health principles and quadruple digestion. Conclusion: Hyperlipidemia is a condition that can be either pathological or physiological. According to ITM, it occurs due to the imbalance of humors inside the arteries and leads to higher blood concentration and. In some cases, it can be due to a disease and in some cases, it can be caused by the body’s compensatory response. Paying attention to the views of ITM can be effective in preventing disease and improving therapeutic interventions.
Small, diversified farms in New England provide conservation opportunities for shrubland birds
Authors: Brofsky Isabel , King David
Published: October 2021

More than half of the shrubland birds that regularly breed in the Northeast have experienced population declines. In this study, investigators sampled birds and bird habitats on small, diversified farms across the Pioneer Valley of Massachusetts to assess their potential to support priority shrubland birds.
PENGARUH LAYANAN BIMBINGAN KELOMPOK TERHADAP KONFORMITAS TEMAN SEBAYA
Authors: Sartika Mulia , Yandri Hengki
Published: October 2021

Penelitian ini dilatarbelakangi oleh fenomena masih adanya konformitas teman sebaya siswa yang negatif. Tujuan penelitian ini untuk menjelaskan pengaruh layanan bimbingan kelompok terhadap konformitas teman sebaya melalui pendekatan eksperimen dengan rancangan the one group pretest-posttest design. Sampel penelitian sebanyak 10 orang yang dipilih melalui teknik purposive sampling. Data diungkap melalui angket model skala likert dan dianalisis menggunakan uji Wilcoxon Signed Ranks Test. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang signifikan terhadap konformitas teman sebaya pada siswa setelah diberikan perlakuan berupa layanan bimbingan kelompok.
EFEKTIVITAS LAYANAN INFORMASI DENGAN MENGGUNAKAN STRATEGI COOPERATIVE LEARNING UNTUK MENINGKATKAN PEMAHAMAN SISWA MENGENAI BAHAYA SEKS BEBAS
Authors: Sujadi Eko , Noviani Yesi
Published: October 2021

Abstrak. Sekolah merupakan tempat dimana siswa dapat mengembangkan pemahaman yang positif maupun negatif, salah satunya mengenai bahaya seks bebas. Tujuan dari penelitian ini adalah untuk meningkatkan pemahaman siswa mengenai bahaya seks bebas melalui penerapan layanan informasi dengan menggunakan  strategi cooperative learning. Pendekatan penelitian ini adalah kuantitatif. Populasi pada penelitian ini adalah siswa kelas VIII SMP Negeri 26 Kerinci sebanyak 23 siswa. Pengumpulan datanya diperoleh dengan menggunakan skala likert. Teknik analisa data yang digunakan yakni Wilcoxon Signed Rank Test. Adapun temuan penelitian ini adalah terdapat perbedaan pemahaman Siswa mengenai bahaya seks bebas kepada siswa sebelum diberikan perlakuan (Pretest) dan sesudah diberikan perlakuan (Posttest) berupa Layanan Informasi dengan mengunakan Strategi Cooperative Learning.
Identifikasi Sikap Empati Pengasuh pada Anak Binaan Panti Asuhan
Authors: Ulya Rauzatul , Yusuf M. Jamil , Indra Syaiful
Published: October 2021

Abstrak. Empati adalah kemampuan merasakan emosi orang lain baik secara fisiologis maupun mental yang terbangun pada berbagai keadaan batin orang lain. Perubahan biologis ini akan muncul ketika individu berempati dengan orang lain. Hal yang tidak sesuai dengan diharapkan adanya pengasuh yang cuek, tidak peduli dan antipati, sehingga membuat anak asuh tidak berani berkomunikasi langsung dengan pengasuhnya sehingga membuat anak asuh kurang nyaman dan betah tinggal di panti asuhan. Oleh karena itu yang menjadi tujuan umum penelitian ini yaitu: untuk mengetahui identifikasi sikap empati pengasuh pada anak binaan pada Panti Asuhan Bumi Moro Kecamatan Darul Imarah Kabupaten Aceh Besar. Sedangkan tujuan khususnya yaitu: untuk mengetahui bentuk-bentuk empati pengasuh dalam pengasuhan anak binaan, untuk mengetahui sikap pengasuh yang menunjukkan empati pada anak binaan dilihat dari verbal dan non verbal, untuk mengetahui respon anak binaan terhadap empati yang diberikan oleh pengasuh. Metode yang digunakan adalah deskriptif pendekatan kualitatif. Teknik pengumpulan data menggunakan observasi, dokumentasi dan wawancara dengan teknik purposive sampling dengan 5 kriteria dan 7 orang responden, teknik analisis data menggunakan reduksi data, penyajian data, penarikan kesimpulan. Hasil yang di peroleh dalam penelitian ini meliputi: (1) Bentuk-bentuk empati pengasuh dalam pengasuhan anak binaan sudah berhasil dilakukan dengan cara memeluk, meranggkul dan mengusap kepala anak asuh ketika mendengarkan persoalan yang dialami anak asuh di panti asuhan. (2) Sikap pengasuh yang menunjukkan empati pada anak binaan dilihat dari verbal dan non verbal  pengasuh sudah memberikan perhatikan terhadap anak asuh dengan cara menjenguk anak asuh ke kamar, duduk bersama anak asuh, ikut makan bersama dan sebagainya sehingga anak asuh merasa ada yang peduli terhadap dirinya. (3) Respon anak binaan terhadap empati yang diberikan oleh pengasuh diketahui bahwa anak asuh bahagia dan nyaman tinggal di panti asuhan karena memiliki pengasuh yang lemah lembut dan perhatian terhadap diri anak asuh. Berdasarkan hasil penelitian dapat disimpulkan bahwa sikap empati pengasuh dapat membantu mengetahui perasaan dan kondisi yang dialami oleh anak binaan.
Perancangan Sistem Monitoring dan Kontrol Daya Berbasis Internet Of Things
Authors: Shodiq Amir , Baqaruzi Syamsyarief , Muhtar Ali
Published: October 2021

Energi listrik merupakan suatu bentuk energi yang berasal dari sumber arus yang biasanya dinyatakan dalam Watt hour. Energi yang digunakan oleh peralatan listrik merupakan laju penggunaan energi (daya) selama peralatan tersebut digunakan. Untuk menghemat daya listrik yang terpakai maka konsumen harus mengetahui pemakaian listrik tiap harinya. Untuk memberi batasan pemakaian dan memperkirakan pemakain listrik, maka dari itu konsumen harus dapat memonitoring dan mengontrol pemakaian daya listrik dengan sistem yang memudahkan dan tidak membingungkan. Salah satu teknologi saat ini yang memudahkan untuk memonitoring adalah sistem yang berbasis IoT. PEMoS merupakan alat yang dirancang untuk memonitoring serta mengontrol pemakaian daya listrik. Perangkat yang digunakan dilengkapi dengan sensor tegangan dan arus yang dapat membaca tegangan dan arus secara realtime dengan komukasi NodeMCU untuk mengirimkan data ke user menggunakan jaringan internet. PEMoS memiliki dua bagian yaitu client dan server yang berkomunikasi secara wireless. Data yang dibaca oleh sensor harus terlebih dahulu diterima oleh server sebelum dikirimkan ke cloud server. PEMoS juga memiliki aplikasi android yang digunakan untuk mengontrol client dan memonitoring daya listrik yang bersumber dari PLN. Setelah dilakukan pengujian pada alat, didapatkan nilai galat pada pembacaan sensor tegangan sebesar 1.60% dimana itu masih dalam batas toleransi. Untuk pengujian sensor arus didapatkan galat sebesar 9.93%. Pada komunikasi antara client dan server terdapat keterlambatan pengiriman data selama ±6s.
Perancangan Dan Implementasi Perangkat Akuisisi Data Dan Regulasi Daya Pada Sistem
Authors: Topher Chris , Ramadhan M Rizki , Ramadhani Inda Dwi , A Rheyuniarto Sahlendar , Istiphara Swadexi
Published: October 2021

Kesehatan adalah kebutuhan yang sangat penting untuk manusia, Kesehatan dapat diperoleh dengan melakukan olahraga. berkembangnya teknologi membuat Virtual Reality dapat dimanfaatkan sebagai media untuk melakukan olahraga dari rumah. Melalui penelitian ini telah dirancang dan diimplementasikan perangkat akuisisi data dan regulasi daya pada sistem Virtual Reality kontroler untuk olahraga. sistem akan dipasang pada sepeda sebagai kontroler. metode penelitian waterfall terdiri dari beberapa tahap yaitu tinjauan, perancangan, verifikasi komponen, implementasi dan pengujian. Hasil pembacaan sensor akan dikirimkan melalui serial komunikasi bluetooth dalam sebuah paket data. Hasil pengujian dapat disimpulkan bahwa pembacaan sensor infrared memiliki kesalahan 0,011%, potensiometer 0,047%, dan sensor tegangan 0,002% serta memiliki nilai arus rata-rata sistem sebesar 0,93A.
Implementation of Web-Based Client Outreach Activity Data Processing Systems at Bina Muda Gemilang Foundation
Authors: Rahayu Sri , Sunarya Po Abas , Khansa Salsabillah Devia
Published: October 2021

In the current era where technology is increasingly developing so that it can change a pattern or habit of society, it can be used by anyone, anywhere. The Bina Muda Gemilang Foundation is no exception, which also takes advantage of technological developments to increase the efficiency and effectiveness of existing business processes. One of the business processes that run at this foundation, namely the data processing of client outreach activities, there are still many gaps where the error rate of data input is quite high. Also frequent date falsification of outreach activities and officer indiscipline in data input. This study aims to solve existing problems by creating a web-based system that is made using the programming languages PHP and MySQL for the database, which can facilitate business processes and minimize errors.
Pengaruh Pengetahuan Akuntansi dan Kepribadian Wirausaha Terhadap Kinerja Manajerial Pada Perusahaan Manufaktur Di Provinsi Sumatra Barat
Authors: Rizka Rizka , Ethika Ethika , M Resti Yulistia
Published: October 2021

This study aims to determine the effect of accounting knowledge and entrepreneurial

personality on managerial performance in manufacturing companies located in the province

of West Sumatra. List of manufacturing companies was obtained from Badan Pusat Statistik

(BPS) Padang.

Data was collected by survey method. Data obtained using a questionnaire

distributed to managers. For the selection of samples was done by purposive sampling

method. Analysis using testing through test the validity and reliability of the data, the

classical assumption test (test for normality, multicollinearity), multiple linear regression

hypothesis test.

The study concluded the effect of accounting knowledge and entrepreneurial

personality simultaneously influence on managerial performance, but partially

entrepreneurial personality has no effect on managerial performance.
PERANCANGAN SISTEM INFORMASI MONITORING PEMBAYARAN PIUTANG PADA PT WINGOH ALBINDO
Authors: Wulandari Sri Ayu , Debataraja Mintauli , Warseno Warseno
Published: October 2021

Penggunaan kemajuan teknologi di bidang teknologi informasi sangat strategis untuk membantu

menyelesaikan masalah perusahaan, namun di PT Wingoh Albindo belum menggunakan penerapan

berbasis web, dalam monitoring pembayaran piutang masih menggunakan microsoft excel sehingga

mengalami kesulitan dalam membedakan piutang yang sudah dan yang akan jatuh tempo. Oleh sebab

itu, penelitian ini bertujuan untuk mempermudah perusahaan dan staff A.R (Account Receivable) yang

bekerja di dalam-nya untuk dapat memonitoring pembayaran piutang dari customer. Penelitian ini

dilakukan dengan metode analisa SWOT, perancangan sistem dengan menggunakan UML (Unified

Modelling Language) untuk menggambarkan secara visualisasi. Untuk bahasa pemrograman yang

dipakai adalah PHP (Hypertext Preprocessor), database server dengan MySQL, sublime text 2,

framework Codeigniter dan web server dengan XAMPP. Dengan sudah adanya sistem monitoring

pembayaran piutang ini akan memudahkan staff A.R (Account Receivable) untuk melihat dan memantau

piutang customer dalam perusahaan dan juga memudahkan dalam membuat laporan pembayaran

piutang serta juga menghasilkan laporan yang cepat dan akurat.
ANALISIS PENGGUNAAN SISTEM KEUANGAN DESA DI DAERAH 3T
Authors: Situmorang Dokman Marulitua , Hapsari Veneranda Rini , Marpaung Oktavia
Published: October 2021

Berdasarkan observasi awal, beberapa permasalahan atau kesulitan dialami oleh para pengelola desa dalam melakukan pengelolaan dan pelaporan keuangan di Kabupaten Bengkayang. Ada juga kendala dan kesulitan di lapangan: Kurangnya pelatihan untuk aplikasi tidak sesuai dengan kebutuhan di lapangan, menu di aplikasi berubah setiap tahun. Maka dari permasalahan diatas maka perlu dilakukan penelitian yang mendalam untuk mencari solusi dan cara pengelolaan dan pelaporan keuangan desa untuk daerah yang berada di daerah Terdepan, Terluar dan Tertinggal. Tujuan dari penelitian ini adalah untuk mengetahui kendala penggunaan aplikasi Siskeudes. Jenis penelitian ini adalah studi kasus. Hasil penelitian bahwa desa dan panitia keuangan sangat berhatihati dalam pelaporan dan pihak dari kantor pemerintah desa selalu melakukan monitoring dan monitoring, transparansi penggunaan dana desa sudah mulai diterapkan di Kabupaten Bengkayang, kita bisa lihat publikasi penggunaan dana desa dengan spanduk. Faktor jarak dari pusat pemerintahan desa menjadi salah satu kendala, kurangnya keahlian dalam memberikan pelatihan kepada desa Kaur, faktor infrastruktur jalan yang buruk menjadi kendala utama dalam berkoordinasi dengan kantor pemerintah desa, dan ketersediaan sinyal telepon merupakan salah satu kendala.
PENGARUH KUALITAS KEHIDUPAN KERJA, MOTIVASI KERJA, DAN PENGEMBANGAN KARIR TERHADAP KEPUASAN KERJA PEGAWAI DI KANTOR CAMAT KOTA ADMINISTRASI JAKARTA BARAT
Authors: Sanni M. Ifran , Norita Silvia , Isrial Isrial
Published: October 2021

Penelitian ini bertujuan mengetahui pengaruh kualitas kehidupan kerja, motivasi kerja, dan pengembangan karir terhadap kepuasan kerja pegawai di Kantor Camat Kota Administrasi Jakarta Barat. Penelitian menggunakan metode survey dengan penelitian kausalitas dan deskriftif dengan metode pengumpulan data melalui metode riset lapangan, studi kepustakaan dan menggunakan instrumen kuesioner. Responden penelitian adalah pegawai di Kantor Camat Kota Administrasi Jakarta Barat yang berjumlah 158 orang. Hasil penelitian menunjukkan bahwa hanya motivasi kerja yang berpengaruh positif dan signifikan terhadap kepuasan kerja pegawai, sementara kualitas kehidupan kerja dan pengembangan karir tidak. Berdasarkan analisis korelasi antar dimensi, dimensi kebutuhan akan prestasi pada variabel motivasi kerja memiliki korelasi paling kuat terhadap dimensi rekan kerja pada variabel kepuasan kerja. Kualitas kehidupan kerja, motivasi kerja dan pengembangan karir berpengaruh secara simultan terhadap kepuasan kerja pegawai di Kantor Camat Kota Administrasi Jakarta Barat.
Clinico-Histopathological Consistency in Dermatological Diseases
Authors: Mahmud Md Mostaque , Al Mamun Md Abdullah , Hazra Samaresh Chandra , Habib Rahat Bin , Chowdhury Md Mostaque Hassan
Published: October 2021

Skin biopsy for histopathology is the most reliable investigation for diagnosis of skin diseases. The main purpose of skin biopsy is to confirm clinical diagnosis but dermatologists usually looking for the concordance with histopathological report. The aim of the study was to observe the consistency of clinical and histopathological diagnosis of skin diseases. An observational study was conducted on 630 patients that undertaken skin biopsy and that was performed at the Department of Dermatology and Venereology, Bangabandhu Sheikh Mujib Medical University from January 2018 to January 2019. Patients who were advised for biopsy by outpatient and inpatient department and the biopsy was done accordingly was included in the study. Finally the inclusion was confirmed when the histopathological report was available. Demographic information, clinical diagnosis, type of biopsy procedure, types of specimen taken and send for histopathological procedure and the histopathological diagnosis was noted in data collection sheet. Histopathological diagnosis and its correlation with clinical diagnosis was assessed for consistency and it was the main outcome measure of the study. The mean age of patients on whom biopsy was performed was 35.14 ±16.57 years and the age range was 5-82 years. Male patients outnumbered female and the male to female ratio was 1.15: 1. Three types of biopsy were performed among them incisional biopsy was the commonest type (93.5%). In most of the cases collected specimen was skin 94.76%, others type of specimens were mucous membrane 2.6%, nail matrix 1.9% and 0.6% specimen was hair follicle. Among the cases 71.43% was diagnosed clinically. The common clinical diagnosis in which biopsy was done was psoriasis and its types 17.77%, lichen planus and its variants 14.12%, the connective tissue diseases 6.19% and infectious diseases 5.39%.  In 79.52% cases histopathological diagnosis was done and 68.22% diagnosis was consistent with the clinical diagnosis. The maximum clinico-pathological concordance was found in vesiculo-bullous disease 93.33%. Then connective tissue diseases 79.48%, vasculitides 75% and lichenoid diseases 73.56%. Skin biopsy is a conclusive tool to overcome diagnostic dilemmas in dermatological diseases. The clinico-pathological concordance is assumed lower than the expectation of dermatologists but the collective efforts of dermatologists and pathologists can improve the capacity of diagnosis of biopsy samples.

Bangladesh Med J. 2020 Sept; 49(3) : 29-34
Impact of seasonal adult emergence period on reproductive performance of tasar silkmoth Antherea mylitta Drury (Lepidoptera: Saturnidae)
Authors: Gadad Hanamant , Naqvi A. H. , Kachhap Asha , Mittal Vishal , Singh Jitendra , Das Susmita
Published: October 2021

Influence of adult emergence period and prevailing weather parameters on reproductive biology of tasar silkmoth Antherea mylitta was studied under grainage (indoor) condition. There was a significant difference of fecundity was observed on different days of adult emergence. Maximum fecundity was observed on 10th day (219 eggs/female) during first grainage (diapause cocoons) while same has been observed on 13th day (224.30 eggs/female) of emergence during second grainage (nondiapause cocoons). With respect to hatching percentage, during first grainage maximum hatching was observed on 1st, 6th, 7th and 12th days of emergence (93.32, 90.14, 90.96 and 90.18 % respectively). In the case of second grainage maximum hatching was on 12th and 2nd day of emergence. Data on per cent egg retention during first grainage ranged between 6.46 to 29.25 % and it was between 6.49 to 14.39 % during second grainage. Retained eggs were unfertile and could observe less than 2 % of hatching across all the days of emergence in first and second grainage together. Despite of significant difference in the reproductive parameters it was not clear about which phase or days of seasonal emergence period yields better layings. Better reproductive performance was scattered randomly across the days of emergence and it also indicates that adult emergence period don’t have any influence over reproductive biology of A. mylitta. Prevailing temperature and relative humidity during emergence period found to have no major influence over fecundity, hatching percentage and egg retention.
Proceso de pruebas de software para un modelo de calidad en Cuba
Authors: Figueredo Lisandra
Published: October 2021

La industria de software se desarrolla a un ritmo acelerado y la competitividad en el mercado exige a las empresas alta calidad en los procesos y productos. La calidad se obtiene al realizar una correcta gestión, aplicando actividades de planificación, aseguramiento y control de la calidad y mejoras. Los modelos de calidad proponen un conjunto de buenas prácticas enfocadas a los procesos de gestión. Cuba cuenta con un modelo aplicable al país, basado en las buenas prácticas de los modelos y normas de referencia, nombrado Modelo de Calidad para el Desarrollo de Aplicaciones Informáticas (MCDAI). En el caso de las actividades de control de la calidad sobresalen los procesos de Verificación y Validación que aseguran el cumplimiento de los requisitos de las partes interesadas; las pruebas de software es la principal técnica dinámica de estos procesos. Esta investigación propone un conjunto de requisitos específicos que sintetizan las buenas prácticas de pruebas de software en un proceso base. Fue diseñado para formar parte de los procesos base del MCDAI. Incluye una descripción gráfica y textual del proceso, que facilita el cumplimiento de los requisitos, y los roles involucrados. Este proceso base fue sometido a grupos focales y a encuesta de satisfacción de expertos para comprobar la utilidad de la propuesta y a proyectos pilotos para verificar que con su aplicación aumenta la efectividad de las pruebas en etapas tempranas durante el desarrollo de software.
PELAYANAN TERAPI BEKAM PADA ANGGOTA MAJELIS TAKLIM ASY SYIFA BATURAJA
Authors: Ketut Sujati Ni , Eka Harsanto D , Saprianto Saprianto , Suryanda Suryanda
Published: October 2021

Health services are currently growing towards naturalist and herbalist services. Public interest in health services originating from eastern medicine is increasing. Included include Cupping. For nurses, Cupping is part of holistic nursing, which has entered the standard of Nursing intervention. The goal of cupping service is the elderly who complain about non-specific complaints along with the degeneration process in the elderly. Suryanda (2016) reported that the application of cupping in the nursing care of a hypertensive client provides comfort and reduces neck pain complaints to the client. This community service aims to provide direct services to the community (members of the Islamic Boarding School Asy syifa Baturaja) who need cupping therapy servants. Activities in the form of counseling about the disease of the elderly and the benefits of cupping and contra indication cupping. Activities carried out in the even semester of the 2019 budget year. The results of cupping therapy are quite effective in high blood pressure patients. Activity outputs are publications in the online media kabarkite.com and activity videos.
EDUKASI KEAMANAN PANGAN KERANG REBUS DENGAN MEMANFAATKAN BELIMBING WULUH DI KOTA BANDA ACEH
Authors: Hanum Faridah , Nurhayati Nurhayati , Sudiarto Dwi , Zakiah Noni , Riani Eka Oktarina
Published: October 2021

Shell is one of the sources of seafood because it contains protein and minerals. However, shells can accumulate more metals than other aquatic animals. Based on Hanum, F' s research (2017), showed that starfruit juice can eliminate Plumbum content in boiled mussels. This needs to be known by the community from the aspect of chemical safety given the high level of heavy metal pollution in waters in Aceh. The community service activity took place for 2 days at the Balee Pengajian Alue Deah Teungoh Village in Meuraxa District, Banda Aceh. The target activity is 40 residents. Based on the results of the activity it can be concluded that the counseling and demonstration of Plumbum testing has been able to improve the knowledge and skills of participants in the technique of processing boiled mussels as a favorite family snack. Starfruit is very effective to be used as a sequestrant.
PEMUTUSAN RANTAI PENULARAN CORONAVIRUS DISEASE (COVID-19) MELALUI PEMANFAATAN TANAMAN OBAT KELUARGA (TOGA) PADA IBU HAMIL, NIFAS, MENYUSUI DAN LANSIA
Authors: Fitriahadi Enny , Satriyandari Yekti
Published: October 2021

The pandemic period requires people to always be vigilant and adhere to health protocols. The period in which a woman from pregnancy, childbirth, postpartum, breastfeeding to the elderly is a continuous process. In the process, they experience various discomforts such as fatigue, vaginal discharge, cravings, frequent urination, emesis gravidarum, dizziness, aches and many other complaints. Early detection of complications of pregnancy, childbirth, postpartum, breastfeeding and the elderly can be assessed through integrated service standards that are usually carried out at posyandu and health centers. During the current pandemic, people are still afraid to go to the nearest health facility for examination and treatment. For this reason, it is health workers who provide solutions or alternative health service activities through cadres or community leaders. The next problem is the increasing number of Covid-19 cases in Sleman Regency which will have an impact on women's health, which is still quite worrying and the lack of knowledge of mothers regarding the prevention of COVID-19 in the family and surrounding areas. The service team from Aisyiyah University Yogyakarta helped PRA Aisyiyah Nogotirto and the community together to break the chain of transmission of COVID-19 through the consumption of rhizomes. Based on the results of the pre and post tests regarding knowledge of covid-19 prevention in the family and community, PRA Nogotirto mothers understand and are able to implement healthy living and always maintain health protocols in the family and community environment.
Tomato breeding for disease resistance
Authors: De Almeida Gabriella Queiroz , Silva Juliana de Oliveira , Copati Mariane Gonçalves Ferreira , Dias Felipe de Oliveira , Santos Manoel Coelho dos
Published: October 2021

In the genetic breeding of tomatoes, not only productivity, but also factors related to fruit quality and pest and disease management are taken into account. In this context, diseases stand out, since they are the main bottlenecks for successful cultivation. Currently, the search for more sustainable crops has demanded from producers’ alternatives to disease control to reduce the use of pesticides. Among the diseases that most reduce tomato production in Brazil, whether for table or industry, we can mention late blight, black spot, fusarium wilt, viruses, bacterial and nematode diseases. Genetic resistance, obtained by genetic breeding programs, is one of the best tools to deal with diseases to depend less on pesticides. Thus, this review aims to provide an overview of tomato breeding programs in terms of resistance to the main diseases that affect this crop.
Effects of Administering Exogenous Bovine Somatotropin During the First Trimester of Pregnancy Altered Uterine Hemodynamics in Suckled Beef Cows
Authors: Sanford Carla D. , Owen Megan P. T. , McCarty K. , Canal Luara B. , Schulmeister Tessa M. , Oosthuizen Nicola , Fontes Pedro L. P. , Lemley Caleb O. , Bromfield John J. , DiLorenzo Nicolas , Lamb G. Cliff
Published: October 2021

The objective of this study was to examine the effects of recombinant bovine somatotropin (bST) administration on uterine hemodynamics and subsequent fetal programming in suckled cows during the first trimester of gestation. Crossbred beef cows (n = 152) were stratified by breed, days postpartum, parity, cyclicity status, and body condition score (BCS) before being assigned to either receive injections of bST every other week (BST; 500-mg/14 d) starting at fixed-time artificial insemination (TAI; d 0) until d 97 or to receive no bST (CTL). Blood samples were collected until d 97 for analysis of plasma concentrations of insulin-like growth factor 1 (IGF-1). Pregnancy was assessed via transrectal ultrasonography on d 41 and 173. A subset of pregnant cows (BST, n = 24; CTL, n = 28) were selected for assessment of uterine arterial blood flow (BF), pulsatility index, and resistance index (RI) of the uterine arteries ipsilateral and contralateral to the conceptus via color Doppler ultrasonography on d 97 and 233 of gestation. No differences (P = 0.99) were detected in body weight (BW) or BCS of dams; however, plasma concentrations of IGF-1 were greater (P < 0.001) in BST-treated cows. Color Doppler ultrasonography parameters differed whereby a treatment × day interaction (P = 0.007) was detected for RI on d 97 (P = 0.048); however, on d 233, RI did not differ (P > 0.10) but ipsilateral BF for BST-treated cows was greater (P = 0.0319) than controls. Mean heart girth diameter, crown-to-rump length, and neonate BW at 7 ± 5 d of calf age did not differ (P > 0.10). Liver tissue samples from each calf were collected for analysis of mRNA expression of target insulin-like growth factor system ligands. There was no difference in gene expression of hepatic IGF-1 between treatments (P = 0.99). A treatment × sex interaction was determined, where BST heifers had increased mRNA expression of IGFR1 compared to BST bulls (P = 0.03). Bi-weekly administration of bST until d 97 of pregnancy increased plasma concentrations of IGF-1, altered uterine hemodynamics in dams, induced sex-specific changes in liver gene expression of the offspring but failed to alter calf morphometries or calf performance until weaning.
Hydration and its Hydrogen Bonding State on a Protein Surface in the Crystalline State as Revealed by Molecular Dynamics Simulation
Authors: Nakagawa Hiroshi , Tamada Taro
Published: October 2021

Protein hydration is crucial for the stability and molecular recognition of a protein. Water molecules form a hydration water network on a protein surface via hydrogen bonds. This study examined the hydration structure and hydrogen bonding state of a protein, staphylococcal nuclease, at various hydration levels in its crystalline state by all-atom molecular dynamics (MD) simulation. Hydrophilic residues were more hydrated than hydrophobic residues. As the water content increases, both types of residues were uniformly more hydrated. The number of hydrogen bonds per single water asymptotically approaches 4, the same as bulk water. The distances and angles of hydrogen bonds in hydration water in the protein crystal were almost the same as those in the tetrahedral structure of bulk water regardless of the hydration level. The hydrogen bond structure of hydration water observed by MD simulations of the protein crystalline state was compared to the Hydrogen and Hydration Database for Biomolecule from experimental protein crystals.
Recent Advances in Second Near-Infrared Region (NIR-II) Fluorophores and Biomedical Applications
Authors: Chen Yingying , Xue Liru , Zhu Qingqing , Feng Yanzhi , Wu Mingfu
Published: October 2021

Fluorescence imaging technique, characterized by high sensitivity, non-invasiveness and no radiation hazard, has been widely applicated in the biomedical field. However, the depth of tissue penetration is limited in the traditional (400–700 nm) and NIR-I (the first near-infrared region, 700–900 nm) imaging, which urges researchers to explore novel bioimaging modalities with high imaging performance. Prominent progress in the second near-infrared region (NIR-II, 1000–1700 nm) has greatly promoted the development of biomedical imaging. The NIR-II fluorescence imaging significantly overcomes the strong tissue absorption, auto-fluorescence as well as photon scattering, and has deep tissue penetration, micron-level spatial resolution, and high signal-to-background ratio. NIR-II bioimaging has been regarded as the most promising in vivo fluorescence imaging technology. High brightness and biocompatible fluorescent probes are crucial important for NIR-II in vivo imaging. Herein, we focus on the recently developed NIR-II fluorescent cores and their applications in the field of biomedicine, especially in tumor delineation and image-guided surgery, vascular imaging, NIR-II-based photothermal therapy and photodynamic therapy, drug delivery. Besides, the challenges and potential future developments of NIR-II fluorescence imaging are further discussed. It is expected that our review will lay a foundation for clinical translation of NIR-II biological imaging, and inspire new ideas and more researches in this field.