bluuebunny/crossref_metadata_2025 huggingface dataset:
Penataan Pasar Sebagai Upaya Pemberdayaan Pedagang Kaki Lima di Pasar Tradisional Sindangkerta Kabupten Bandung Barat
Authors: Santy Sriharyati  , Milla Marlina
Published: June 2023

Kurangnya koordinasi penataan dan pemberdayaan PKL di wilayah pasar tradisional dikarenakan belum adanya kebijakan pemerintah di daerah yang  mengatur penataan dan pemberdayaan PKL, sehingga berdampak pada belum tertanamnya pola perilaku masyarakat yang baik, jumlah PKL dan  semakin hari semakin banyak, lokasi keberadaan. Sehingga perlunya kajian Penataan Pasar sebagai Upaya Pemberdayaan Pedagang Kali Lima di Pasar Tradisional Sindangkerta Kabupaten Bandung Barat.Adapun metode pengumpulan data secara umum terbagi dua yaitu pengumpulan data primer (wawancara, observasi lapangan dan penyebaran kuesioner) dan data sekunder. Penataan pedagang di Pasar Tradisional Sindangkerta merupakan salah satu alternatif pemecahan masalah kesemrawutan jumlah pedagang, khususnya PKL. Solusinya antara lain melalui penetapan kebijakan penataan PKL, penetapan lokasi dan atau kawasan tempat berusaha PKL, penataan PKL melalui kerja sama antar pemerintah daerah, pengembangan kemitraan dengan dunia usaha. Hal tersebut dapat dilakukan dengan mengoptimalkan lahan yang dipergunakan untuk kegiatan berdagang dan membatasi kawasan kegiatan pedagang, khususnya agar para pedagang dispilin dalam menempati tempat yang telah disediakan. Arah pengembangan dan transformasi fisik  pasar dengan ketentuan SNI  8152 Tahun 2015 tentang Pasar Rakyat. Selain itu, perlunya koordinasi pemberdayaan PKL dilaksanakan melalui penyuluhan, pelatihan atau bimbingan sosial, peningkatan kemampuan berusaha, pembinaan dan bimbingan teknis, fasilitasi akses permodalan, pemberian bantuan sarana dan prasarana.
Analisi Strategi Negosiasi Pada Platform Shopee
Authors: Haerunnisa  , Dwi Khaira Ramdhanni  , Ricky Firmansyah
Published: June 2023

Dengan kemajuan teknologi pada masa kini, maka kita di mudahkan untuk mengakses seluruh aktivitas termasuk berbelanja online untuk kebutuhan sehari hari. Dengan banyak nya platform e-commerce yang sedang menjamur, salah satu yang paling popular adalah platform e-commerce shopee, Aplikasi shopee merupakan platform belanja online dengan menggunakan konsep sosial. Salah satunya bisa bernegosiasi untuk pembelian produk pada aplikasi tersebut.Upaya penelitian yang kami buat dengan menggunakan kuisioner dengan target para seller shopee. Metode yang digunakan pada penelitian jurnal ini bersifat kuantitatif dan akumulatif, ada sebanyak 35 tanggapan seller. Aplikasi shopee sebagai bisnis adalah sebanyak 85,7%. Jenis produk yang dijual paling banyak pada Fashion 36,4% dan perawatan atau kecantikan 27,3%. keuntungan berjualan di Shopee  sebanding dengan profit yang didapat dengan E- commerce lain. Adapun produk jual yang dapat ditawar adalah sebanyak 65,6%. Strategi pemberian ulasan pada produk original 54,5%, harga terjangkau 60,6%, kualitas terbaik 57,6%, pemberian diskon 42%, layanan COD 33,3%, dan respon cepat terhadap pelanggan 39,4%. Pengaruh ulasan pelanggan pada toko seller sebanyak  81,8%. Dapat disimpulkan bahwa dalam berbisnis pada aplikasi shopee atau E- comerce lain untuk meningkat dalam penjualan maka harus memberikan pelayanan komunikasi dan negosiasi yang baik, sehingga pelanggan merasa dilayani dengan baik dan merasa puas berbelanja online
Penguatan Kemampuan dan Sikap Dalam Berwirausaha Guna Meningkatkan Keberhasilan Bisnis di Bidang Kuliner
Authors: Widjana Panji Pramuditha , Poniah Juliawati  , Meli Siagawati
Published: June 2023

ABSTRACT

Not a few of the business actors experience a lack of awareness of the importance of competent entrepreneurial skills and entrepreneurial attitudes. Even though these two components have a role that is considered important in the success of the culinary business. This study aims to determine whether these two components have an influence on the success of the culinary business in Bandung. The author uses descriptive analysis and verification methods through a quantitative approach. Research shows that competent entrepreneurial skills and entrepreneurial attitudes have a fairly good effect on the success of culinary businesses in Bandung.

Keywords: Entrepreneurial Attitude; Entrepreneurial Ability; Competence, Culinary; Success

ABSTRAK

Tidak sedikit dari pelaku usaha mengalami kurangnya kesadaran akan pentingnya kemampuan berwirausaha yang kompeten dan sikap kewirausahaan. Padahal kedua komponen tersebut memiliki peran yang dinilai pemting terhadap keberhasilan usaha kuliner. Penelitian ini bertujuan untuk mengetahahui apakah kedua komponen tersebut memiliki pengaruh terhadap keberhasilan usaha kuliner di Bandung. Penulis menggunakan metode analisis deskriptif dan verifikatif melalui pendekatan kuantitatif. Penelitian menunjukan bahwa kemampuan berwirausaha yang kompeten dan sikap kewirausahaan memiliki pengaruh yang cukup baik terhadap keberhasilan usaha kuliner di Bandung.

Kata Kunci: Sikap Kewirausahaan; Kemampuan Berwirausaha; Kompeten; Kuliner; Keberhasilan
Pengaruh Kecerdasan Intelektual, Kecerdasan Emosional, Kecerdasan Sosial dan Komitmen Pegawai terhadap Organizational Citizenship Behaviour (OCB) (Sensus Pada Rumah Sakit Prasetya Bunda Tasikmalaya)
Authors: Rangga Munggaran
Published: June 2023

ABSTRACTION

 

The purpose of this study is to know and analyze the Influence of Intellectual Intelligence, Emotional Intelligence, Social Intelligence and Employee Commitment to Oraganizational Citizenship Behavior (OCB) at Prasetya Bunda Tasikmalaya Hospital. Objects studied are employees of Prasetya Bunda Hospital. The research method used is path analysis. Data collection was obtained through observation, questionnaire and literature study. The population in this study is 110 employees. The results showed that Intellectual Intelligence, Emotional Intelligence, Social Intelligence and Employee Commitment significantly influenced both partially and simultaneously to Organizational Citizenship Behavior (OCB) at Prasetya Bunda Hospital.

Keyword : Intellectual Intelligence, Emotional Intelligence, Social Intelligence and Employee Commitment.
Pengaruh Komitmen, Pelatihan dan Kompetensi terhadap Kinerja Karyawan di PT X
Authors: Muis Wirasujatma
Published: June 2023

This research aims to know and analyze: (a) organizational commitment, training, competence, and employee performance in the position of Sales Officer and Remedial Officer PT. X, (b) the influence of organizational commitment, training, and competence on employee performance of Sales Officer and Remedial Officer position at PT. X either partially or simultaneously. Research method used in this research is census method. The population in this study is the entire population is used as a sample of 99 people, consisting of 55 people Remedial officers and 44 sales officers. Data analysis technique using path analysis. The results showed that commitment and competence have a significant effect on employee performance, while training does not significantly affect employee performance. Simultaneously organizational commitment, training, and competence have a significant effect on employee performance at PT. X
Perbandingan Strategi Pemasaran Bisnis Properti Pasca Pandemi Covid-19
Authors: Asep Dadan Suhendar  , Rudi Kurniawan
Published: June 2023

Pandemi covid-19 berdampak terhadap kegiatan pemasaran bisnis properti. PT. Gussakka Syariah Indonesia adalah salah satu perusahaan properti yang mengalami dampak dari pandemi yang mengakibatkan berhentinya kegiatan pemasaran untuk beberapa waktu. Pada masa new normal perusahaan tersebut memulai kembali kegiatan pemasaran dengan mengubah strategi pemasaran. Bauran produk, bauran harga dan bauran promosi mengalami perubahan. Tujuan dari penelitian ini untuk mengetahui perbandingan strategi pemasaran sebelum dan sesudah pandemi dengan melakukan observasi secara langsung, dan pengambilan data dilapangan. Penelitian ini menggunakan metode penelitian deskriptif kualitatif. Hasil dari pengolahan data dari observasi dan pengamatan secara langsung bahwa bauran produk, bauran harga dan bauran promosi terlaksana lebih baik yang artinya strategi pemasaran setelah pandemi lebih baik dari sebelum pandemi covid-19. Bauran produk mengalami peningkatan satu variasi produk, bauran harga lebih bersifat fleksibel dan bauran promosi mengalami peningkatan nilai PAR (purchase action ration) 0,000159%.
Pengaruh Layanan Cash On Delivery, Online Consumer Rating dan Reviews terhadap Keputusan Pembelian Produk secara Online
Authors: Hajati Dayat Ikhsan
Published: June 2023

Penelitian ini bertujuan untuk menganalisis faktor yang mempengaruhi keputusan pembelian yang terdiri dari layanan cash on delivery, consumer online rating dan review. Pendekatan dalam penelitian ini menggunakan pendekatan kuantitatif dengan jenis causal research. Penelitian ini mengambil 100 sampel yang diperoleh menggunakan teknik sampling incidental. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis statisitik deskriptif dan analisis regresi linier berganda. Hasil penelitian ini menunjukan bahwa 1) terdapat pengaruh signifikan dan positif layanan cash on delivery terhadap keputusan pembelian secara parsial, 2) consumer online rating dan review memiliki pengaruh signifikan dan positif terhadap keputusan pembelian secara parsial, 3) terdapat pengaruh signifikan dan positif layanan cash on delivery, consumer online rating dan review terhadap keputusan pembelian secara simultan.
Administrasi Perencanaan Konten Instagram Customer pada Divisi Chlorine di Perusahaan CYBERLABS
Authors: Martini Tini , Agnia Syabilla
Published: June 2023

CyberLabs merupakan perusahaan digital marketing yang berlokasi di Bandung dan beberapa kantor cabang nya di dalam dan luar negeri, didirikan pada tahun 2014 yang berfokus dalam proses konsultasi digital marketing, pembuatan website, pembuatan aplikasi Android dan juga pembuatan aplikasi IOS. Dalam kegiatan administrasi perencanaan konten instagram customer dilakukan mulai dari pemilihan paket, persetujuan kedua belah pihak, pembayaran, pengiriman informasi detail mengenai pesanan, meminta persetujuan customer, jika sudah disetujui dan tidak ada perbaikan maka admin akan mengelola akun customer.

 

Pada saat pelaksanaan administrasi perencanaan konten instagram customer terdapat kendala yaitu adanya pelaksanaan administrasi yang kurang maksimal, sehingga kegiatan administrasi untuk perencanaan konten instagram tidak efektif dan efisien. Hal baru dari analisis diusulkan untuk menunjang pada saat pembuatan laporan berita acara perencanaan konten Instagram menggunakan Microsoft Office 365 agar administrasi tetap terlaksana dan terawasi dengan baik dan juga dapat mempermudah pencatatan baik yang dilakukan oleh bagian content plan ataupun atasan, sehingga administrasi akan terlaksana dengan baik.

 

Kata Kunci : Administrasi, Perencanaan, Konten, Perencanaan Konten,

 

Cyberlabs is a digital marketing company located in Bandung and several of overseas branches, established in 2014 that focuses on digital consultative marketing, creating web, android apps and ios apps. In the event of the administrative planning of the content start from choosing of the package, the agreement of both parties, payment, the delivery of detailed information regarding the order, asking for customer approval, if it is approved and no repairs, the admin will manage the customer's account.

 At the time of the administration's instagram content planning, there is a problem with inadequate administration administration, leaving the administrative activities for instagram content planning ineffective and efficient. New analysis has been proposed to support the development of news reports on instagram planning events using Microsoft office 365 to keep administration tight and well supervised and also to make it easier for the paperwork to be carried out by the content plan as well as boss, so that the administration will be well covered.

 

Keywords: Administration, Plan, Content, Content Plan, Instagram
Pengaruh Supervisi Manajerial dan Kedisiplinan terhadap Profesionalisme Dosen (Suatu Studi Kasus pada Akademi Sekretaris dan Manajemen (Asm) Kencana Bandung)
Authors: Hadiaty Fifit , Noorhan Elly Watti , Arifin Jaenal
Published: June 2023

Abstrak: Penelitian ini bertujuan untuk menguji apakah terdapat pengaruh supervisi manajerial dan kedisiplinan terhadap profesionalisme Dosen Akademi Sekretaris dan Manajemen (ASM) Kencana Bandung. Metode penelitian yang digunakan adalah metode survey deskriptif dan survey eksplanatori dengan ukuran sampel sebesar 59 responden, yaitu para Dosen Tetap dan Dosen Luar Biasa ASM Kencana Bandung. Metode analisis data yang digunakan dalam penelitian ini adalah analisis jalur (path analysis) dengan software pengolahan data SPSS.

Hasil survey menunjukkan bahwa supervisi manajerial, kedisiplinan dan profesionalisme sudah baik hal ini dapat meningkatkan kinerja Dosen ASM Kencana Bandung. Hasil analisis jalur dengan menggunakan software SPSS menunjukkan bahwa supervisi manajerial dan kedisiplinan berpengaruh terhadap profesionalime, baik secara simultan maupun secara parsial. Namun secara parsial kedisiplinan memiliki pengaruh yang paling dominan terhadap profesionalime.

Kata Kunci : Supervisi Manajerial, Kedisiplinan, Profesionalisme
APPLYING GREEN TECHNOLOGIES TO IMPROVE BUSINESS SUSTAINABILITY
Authors: Byčenkaitė Gintarė , Burinskienė Aurelija
Published: June 2023

Green technologies have great potential to meet economic sustainability challenges. The purpose of this paper is to review which sectors use the greenest technology and which benefits they are giving. This paper examines which business sectors are using green technologies and how effective they are. The most green technologies are used in the logistics, construction, and information technology sectors. The main factors determining the help of technology are the various problems technology addresses, such as cost increases, lack of human resources, and limited resources. Over 40 articles have been analyzed in this paper, which has led to a scientific literature analysis on technologies in business that have a low environmental impact and contribute to economic growth. The data from Eurostat EIS database collected was structured through a descriptive analysis of the application of green technologies in various business activities using generalization methods. The investigation revealed the benefits and potential that 30 percent of carbon footprint could be reduced by using artificial intelligence (AI) in business. The previous papers discussed the application of AI in one of areas and not covered several different areas, however, this paper summarizes the application of AI practices in different business areas. The study has shown that green technologies offer significant economic and environmental benefits.
A Sensitive Search for Supernova Emission Associated with the Extremely Energetic and Nearby GRB 221009A
Authors: Srinivasaragavan Gokul P. , O’Connor Brendan , Cenko S. Bradley , Dittmann Alexander J. , Yang Sheng , Sollerman Jesper , Anupama G. C. , Barway Sudhanshu , Bhalerao Varun , Kumar Harsh , Swain Vishwajeet , Hammerstein Erica , Holt Isiah , Anand Shreya , Andreoni Igor , Coughlin Michael W. , Dichiara Simone , Gal-Yam Avishay , Miller M. Coleman , Soon Jaime , Soria Roberto , Durbak Joseph , Gillanders James H. , Laha Sibasish , Moore Anna M. , Ragosta Fabio , Troja Eleonora
Published: June 2023

We report observations of the optical counterpart of the long gamma-ray burst GRB 221009A. Due to the extreme rarity of being both nearby (z = 0.151) and highly energetic (E

γ,iso ≥ 1054 erg), GRB 221009A offers a unique opportunity to probe the connection between massive star core collapse and relativistic jet formation across a very broad range of γ-ray properties. Adopting a phenomenological power-law model for the afterglow and host galaxy estimates from high-resolution Hubble Space Telescope imaging, we use Bayesian model comparison techniques to determine the likelihood of an associated supernova (SN) contributing excess flux to the optical light curve. Though not conclusive, we find moderate evidence (K
Bayes = 101.2) for the presence of an additional component arising from an associated SN, SN 2022xiw, and find that it must be substantially fainter (<67% as bright at the 99% confidence interval) than SN 1998bw. Given the large and uncertain line-of-sight extinction, we attempt to constrain the SN parameters (M
Ni, M
ej, and E
KE) under several different assumptions with respect to the host galaxy’s extinction. We find properties that are broadly consistent with previous GRB-associated SNe: M
Ni = 0.05–0.25 M
⊙, M
ej = 3.5–11.1 M
⊙, and E
KE = (1.6–5.2) × 1052 erg. We note that these properties are weakly constrained due to the faintness of the SN with respect to the afterglow and host emission, but we do find a robust upper limit on M
Ni of M
Ni < 0.36 M
⊙. Given the tremendous range in isotropic gamma-ray energy release exhibited by GRBs (seven orders of magnitude), the SN emission appears to be decoupled from the central engine in these systems.
Constraints on the Bright Meyer Group Comet C/2023 F2 (SOHO)
Authors: Ye 叶 Quanzhi 泉 志 , Zhang Qicheng , Guiñez Cristian , Maldonado Vicente , Rojo Patricio , Bauer James M. , Battams Karl , Knight Matthew M.
Published: June 2023

Comet C/2023 F2 (SOHO) was one of the brightest members of the poorly understood Meyer near-Sun comet group. Here we report our unsuccessful attempt to recover this comet from the ground using the Danish 1.54 m telescope. We observed the predicted position of the comet on 2023 April 4–5 UT when the comet was at 0.6 au and 36°–38° from the Sun, and searched an area that has 5%–10% likelihood to contain the comet down to R ∼ 20. Despite the search being unsuccessful, we show that it is possible to reach reasonable depth at small solar elongation, and that wide-field meter-class telescopes are desirable for the recovery of these objects from the ground.
The spiral of plants in the life cycle
Authors: Zanella Augusto
Published: June 2023

Dialogue with Sandro Pignatti on natural evolution, considering the soil as a living matrix in which the recycling of organic matter (and DNA) takes place. We discussed the following topics:

1) the relationship between phytosociology and plants’ ecology;

2) the soil as individual or ecosystem digestive machinery;

3) the hypothesis of a complemental flow of DNA pieces in relation to the recycling process that takes place in the soil.

Past and recent research in the fields of biology and evolution highlights a functional and primordial collaboration between living beings in the exploitation of the natural resources. In this process that ultimately is life, the soil plays a crucial role because it cyclically and progressively renews and enriches the sources of elementary structural bricks.
Silene isabellae (Caryophyllaceae), a new campion species from serpentine soils of Albania
Authors: Selvi Federico , Gonnelli Cristina , Bianchi Elisabetta
Published: June 2023

The new species Silene isabellae is described and illustrated from the Skënderbëut mountain range of central Albania. It grows on the ultramafic mountain slopes around Qafë Shtamë, in the understorey of open Pinus nigra forests and in the rocky grasslands above the forest belt, at 1000–1600 m a.s.l. Silene isabellae is a serpentine endemic likely belonging to section Elisanthe (Fenzl ex Endl.) Ledeb. and shows affinities with the widespread European species S. noctiflora L. It is sharply distinct from the latter species in habit, stem and leaf pubescence, morphology, and biology of the flowers and length of the carpophore. Moreover, the ecology of the two taxa is also contrasting, being S. noctiflora a synanthropic-ruderal, mostly in lowlands. Weaker similarities were also observed with the south European subalpine taxa of the group of S. vallesia L. of section Auriculatae (Boiss.) Schischk., though these are not likely to reflect a real systematic affinity.
Analysis of a fractional pollution model in a system of three interconnecting lakes
Authors: Anjam Yasir Nadeem , Yavuz Mehmet , ur Rahman Mati , Batool Amna
Published: June 2023

Water pollution is a critical global concern that demands ongoing scrutiny and revision of water resource policies at all levels to safeguard a healthy living environment. In this study, we focus on examining the dynamics of a fractional-order model involving three interconnected lakes, utilizing the Caputo differential operator. The aim is to investigate the issue of lake pollution by analyzing a system of linear equations that represent the interconnecting waterways. To numerically solve the model, we employ two methods: The Laplace transform with the Adomian decomposition method (LADM) and the Homotopy perturbation method (HPM). We compare the obtained numerical solutions from both methods and present the results. The study encompasses three variations of the model: the periodic input model, the exponentially decaying input model, and the linear input model. MATLAB is employed to conduct numerical simulations for the proposed scheme, considering various fractional orders. The numerical results are further supported by informative graphical illustrations. Through simulation, we validate the suitability of the proposed model for addressing the issue at hand. The outcomes of this research contribute to the understanding and management of water pollution, aiding policymakers and researchers in formulating effective strategies for maintaining water quality and protecting our environment.
Modeling the effects of Prophylactic behaviors on the spread of SARS-CoV-2 in West Africa
Authors: Yedomonhan Elodie , Tovissodé Chénangnon Frédéric , Kakaï Romain Glèlè
Published: June 2023

Various general and individual measures have been implemented to limit the spread of SARS-CoV-2 since its emergence in China. Several phenomenological and mechanistic models have been developed to inform and guide health policy. Many of these models ignore opinions about certain control measures, although various opinions and attitudes can influence individual actions. To account for the effects of prophylactic opinions on disease dynamics and to avoid identifiability problems, we expand the SIR-Opinion model of Tyson et al. (2020) to take into account the partial detection of infected individuals in order to provide robust modeling of COVID-19 as well as degrees of adherence to prophylactic treatments, taking into account a hybrid modeling technique using Richard's model and the logistic model. Applying the approach to COVID-19 data from West Africa demonstrates that the more people with a strong prophylactic opinion, the smaller the final COVID-19 pandemic size. The influence of individuals on each other and from the media significantly influences the susceptible population and, thus, the dynamics of the disease. Thus, when considering the opinion of susceptible individuals to the disease, the view of the population at baseline influences its dynamics. The results are expected to inform public policy in the context of emerging and re-emerging infectious diseases.
Deep Learning-Based Damage Inspection for Concrete Structures
Authors: Shu Jiangpeng , Jin Zhenfen
Published: June 2023

It is important to detect and assess the damaged condition of concrete structures to ensure their safety. Several common indicators of the damaged condition such as dimension deviation of precast concrete (PC) components, propagation of the local crack, anomaly of vibration response, and decrease in structural bearing capacity are difficult to be detected automatically and efficiently. The rapid development of deep learning (DL) provides new ideas to solve the above problems. DL can effectively extract features from a large amount of multi-source data such as images, point clouds, and acceleration data, and perform related classification and detection tasks. The authors demonstrate the potential of DL in engineering practice by employing DL to address the crucial problems of damage inspection for concrete structures.
A Predictive Regression Model for the Shear Strength of RC Knee Joint Subjected to Cyclic Load
Authors: Khan Azam , Tariq Moiz
Published: June 2023

Reverse cyclic loading is applied to the RC knee joint, which causes the knee joint to experience either opening or closing moments. To calculate the joint's shear strength, an effective nonlinear model is created herein. The shear strength of the knee joint either in opening or closing is predicted by two distinct and practical equations developed utilizing a regression-based methodology. The effects of material and geometric factors are taken into account, including the compressive strength of concrete, the joint aspect ratio, and reinforcement strength. The proposed equations are developed using a statistical analysis of a database containing 61 experiments. The proposed equations are statistically evaluated and examined with the models that were earlier put out. Thus, the suggested models can fairly accurately forecast the shear capacity, which makes them ideal for usage in real applications.
Groundwater Modelling of the Saq Aquifer Using Artificial Intelligence and Hydraulic Simulations
Authors: Pasha Ghufran Ahmed , Ghumman Abdul Razzaq , Almuhaylan Mohammed R. , Shafiquzzaman Md. , Al-Salamah Ibrahim Saleh , Haider Husnain , Ahmed Afzal , Khan Riaz Akhtar
Published: June 2023

Water resources are directly related to the economic conditions of a region. Precise estimation of groundwater is an important step toward better planning and management. This book chapter is dedicated to modelling groundwater in terms of both quantity and quality utilizing ANN (artificial neural networks), ANFIS (adaptive neuro-fuzzy inference system), and the numerical-hydraulic modeling by MODFLOW (modular three-dimensional finite-difference groundwater flow model). The model performance was determined using mean of square error and Nash-Sutcliffe efficiency of model. The pumping data of the area was used to determine the parameters of Saq Aquifer (Qassim, Saudi Arabia) including specific storage and transmissivity. It has been found that the ANFIS model is the most effective for qualitative and quantitative modelling of the aquifer. Following sensitivity analysis, different future scenarios for sustainable groundwater pumping were examined. This book chapter presents research findings that will be useful for engineers, planners, and managers of water systems in arid areas.
The Value Proposition of Machine Learning in Construction Management
Authors: Marinelli Marina , Janardhanan Mukund Nilakantan
Published: June 2023

In the context of the fourth industrial revolution, machine –learning based applications, such as 3D Printing, computer vision and robotics, are envisaged to digitize construction. This chapter introduces the reader to the basics of AI and focuses on the role of machine learning in the development of technological applications aimed at the improvement of the construction industry's efficiency and sustainability. It reviews the potential benefits of these applications and identifies factors like e.g. high costs, skills gap, dynamic and risky working environment that typically keep them at a very low practical usage in construction. Furthermore, a bibliometric search reveals that, despite its key role in the digitization vision, machine learning is rarely acknowledged in the relevant ‘Construction 4.0' literature. The chapter also identifies the cybersecurity issues emerging from machine learning applications' use and discusses mitigation strategies and technologies aimed at minimizing the impact of threats.
Learning From Small Samples in the Age of Big Data
Authors: Rather Ishfaq Hussain , Ahamad Shakeel , Dohare Upasana , Kumar Sushil
Published: June 2023

Humans learn new concepts from a few observations with strong generalisation ability. Discovering patterns from small samples is complicated and challenging in machine learning (ML) and deep learning (DL). The ability to successfully learn and generalise from relatively short data is a glaring difference between human and artificial intelligence. Because of this difference, artificial intelligence models are impractical for applications where data is scarce and limited. Although small sample learning is challenging, it is crucial and advantageous, particularly for attaining rapid implementation and cheap deployment costs. In this context, this chapter examines recent advancements in small-sample learning. The study discusses data augmentation, transfer learning, generative and discriminative models, and meta-learning techniques for limited data problems. Specifically, a case study of convolutional neural network training on a small dataset for classification is provided. The chapter also highlights recent advances in many extensional small sample learning problems.
LSTM Network
Authors: Kumar Anil , Bhatia Abhay , Kashyap Arun , Kumar Manish
Published: June 2023

The world wide web (WWW) is an advanced system with an unmatched amount of digital data. Today's internet usage is accessible through common search engines like Google and Yahoo. Cybercriminals have become more assertive on social media. As a result, numerous commercial and trade websites are hacked, leading to forced trafficking of women and children as well as a number of other cybercrimes. Due to this, it is important to identify social media crimes as soon as possible in order to avoid them. To do this, a machine learning technique to detect crimes early must be proposed. Long short-term memory networks are a type of recurrent neural network that can pick up order dependency in problems involving prediction of sequence.
NLP Techniques and Challenges to Process Social Media Data
Authors: Mir Tawseef Ahmad , Lawaye Aadil Ahmad , Khanday Akib Mohi Ud Din
Published: June 2023

Social media, a buzz term in the modern world, refers to various online platforms like social networks, forums, blogs and blog comments, microblogs, wikis, media sharing platforms, social bookmarks through which communication between individuals, communities, or groups takes place. People over social media do not only share their ideas and opinions, but it has become an important source through which businesses promote their products. Analyzing huge data generated over social media is useful in various tasks like analyzing customer trends, forecast sales, understanding opinions of people on different hot topics, views of customers about services/products, and many more. Different natural language processing (NLP) techniques are used for crawling and processing social media data to get useful insights out of this. In this chapter, the focus is on various NLP techniques used to process the social media data. Challenges faced by NLP techniques to process social media data are also put forward in this chapter.
Trolling, Cyber-Stalking, Cyber-Bullying, and Identity Theft in OSNs
Authors: Gashroo Ovais Bashir , Saleem Saima , Mehrotra Monica
Published: June 2023

Before the development of information and communication technology, social connections were confined by narrow cultural borders. User-generated multimodal information, online social networks, and rich data related to human behavior have all undergone a revolution as a result of these social technologies. However, the abuse of social technology, such as social media platforms, has given rise to a brand-new type of cyber-crimes such as cyberbullying, cyberstalking, cyber trolling, identity theft, etc. Such crimes result in a breach of privacy, a security lapse, financial fraud, and harm to public mental health and property. This chapter discusses various automated methods and systems driven by machine learning, deep learning, and fuzzy-logic-based algorithms for tackling various types of cybercrimes on various social media platforms. It then highlights various issues and challenges pertaining to the existing methods, which offer new study avenues for researchers to investigate.
Novel Design of Deep Learning and CNN Approaches for Wireless System Applications and Services
Authors: Abarna S.
Published: June 2023

In trendy wireless communication networks, the inflated shopper demands for multi-type applications and top-quality services became a distinguished trend and placed hefty pressure on the wireless network. The standard of expertise (QoE) has received a lot of attention and has become a key performance measuring for the appliance and repair so as to fulfill the users' expectations. The management of the resource is crucial in wireless networks, particularly the QoE-based resource allocation. One amongst the effective ways for resource allocation management is correct application identification. In this chapter, the authors propose a unique deep learning-based technique for application identification. It explores QoE for wireless communication and reviews the restrictions of the standard identification strategies. After that, a deep learning-based technique is projected for mechanically extracting the options and characteristics.
Evaluation of lMM CD program on coconut cultivation; as an e-extension tool
Authors: Fonseka H. D. N. H. , Herath H. M. C. S.
Published: June 2023

Various traditional and modem technology transfer tools are used in the Coconut Research Institute (CRI) to educate the clients. Interactive Multimedia Compact Disc (IMM CD) programs on coconut is one of the modem e- extension tools among them.

This research is aimed at evaluation of IMM CD-1 on coconut cultivation, using a quality (features) evaluation test and a utility evaluation test. Eighty three people who visited to the CRI in three groups for trainings were selected under the Convenient Sampling Technique. The groups represented 22 Agriculture Diploma Students, 21 newly recruited Coconut Development Officers (CDOs) and40 innovative, volunteer growers.

The first two trainee groups i.e.; Agriculture Diploma Students and CDOs together as a group of 43 were made to evaluate qualities in the IMM CD-1 by allowing them to be at CRI auditorium in two groups; using a questionnaire and formulated the responses into individual satisfaction index values. Considering all the values Overall clientele Satisfactory Index Value was calculated and it was 90.38% and this value interpretes the CD being in the highest quality. The satisfaction scores given by the Agriculture students were higher than the scores given by the CDOs while showing the higher e-exposure and the higher competency of e-technology of students. The legibility of the text in the IMM CD has been scored as the best quality.

The grower group was given the opportunity to buy the CD, use it at home and to respond to a questionnaire with open ended questions to test the overall utility of the CD. After 02 months responses were collected and formulated the results into a SWOT table. This test revealed that IMM CD-1 was highly accepted by the young growers than elderly growers. The elderly growers were not familiar with the e-technology and it was seen their need of computer training. It was obvious that the importance of translation of this CD into Tamil and English languages and to update the technical content timely.
Effect of exogenous polyamines on coconut (Cocos nucifera L.) embryogenic callus multiplication
Authors: Hettiarachchi H. D. B. K. , Vidhanaarachchi V. R. M. , Jayarathna S. P. N. C. , Dinum Perera
Published: June 2023

Major bottlenecks of coconut in vitro culture are poor plant regeneration rate, severe browning and premature necrosis of cultured tissue, and heterogeneous response of individual palms and explants to in vitro culture conditions. Among them, tissue browning is a common and often severe problem in coconut in vitro culture systems which results in death of explant/ callus ultimately. This experiment was carried out to enhance the in vitro multiplication of coconut, which is a highly recalcitrant species to in vitro culture through exogenously added polyamines in the media. The polyamines are important for in vitro cell division, cell growth and to delay senescence. In the present study, unfertilized ovary derived calli were cultured on Y3 basal medium supplemented with sucrose (5%), 2,4-D, phytagel (3 gL-1), activated charcoal (2.5 gL-1), and polyamine. Three polyamine types (O.lmM spermine, 1.0 mM putrescine and 0.5mM spermidine) were tested in combination with two 2,4-D concentrations (0.30 and 0.60 mM) in order to enhance coconut in vitro multiplication. All the cultures were incubated in dark at 26±2 °C. The embryogenic structures, embryogenic callusing, non-embryogenic callusing, and browning were recorded separately for each treatment after five weeks from the culture establishment. The polyamine treatments did not have significant effects on frequencies of embryogenic structures, embryogenic callus, non-embryogenic callus and browned callus formation at the initial stages of coconut somatic embryogenesis irrespective of the tested 2,4-D concentrations. Furthermore, the results indicated that decreased 2,4-D levels have significantly reduced browning, resulting 44.79 % browning frequency (0.8-fold lesser browning) in media supplemented with 0.30 mM 2,4-D. However, the potential effects of exogenously added polyamines at the initial stages of coconut somatic embryogenesis could be delivered during the latter stages of the somatic embryo genesis as previously reported in other experiments. Thus, continuous subculture may be necessary.
A study of plasma levels of zinc in children with pica in a public hospital setup
Authors: Snehal P. , Shefali P. , Sandeep B. , Vandana D.
Published: June 2023

Background: Pica is the craving and purposeful consumption of non-food substances. In children with pica, there is a greater possibility of zinc deficiency.
Objectives: To study the plasma levels of zinc in children having pica and to study the efficacy of pica as a clinical marker of zinc deficiency.
Method: This is a case control study of children attending the outpatient department of a tertiary health centre. A total of 92 children were enrolled in the study, of which 46 children who had the habit of pica were taken as cases and the remaining 46 children without the habit of pica were enrolled as controls. Serum zinc levels of the 92 children were estimated.
Results: Of the 92 children included in the study, 56% of cases and 47% of controls belonged to the age group of 2 to 2.5 years. It was observed that 96% of cases had zinc deficiency whereas 100% of controls had normal zinc levels. The mean zinc level of the cases was 46.73±21.32mcg/dL compared to 148.5±15.4mcg/dL in the controls. Accuracy of pica as a clinical marker of zinc deficiency was 97%.
Conclusions: The mean zinc level of the cases who had pica was significantly lower than the mean zinc level of the controls indicating that pica is a useful clinical marker for zinc deficiency.
Sri Lanka Journal of Child Health, 2023: 52(2): 182-187
Early child development - nurturing care: A nation’s pride
Authors: Margaret A. Priya , Kumar S. Ramitha Enakshi
Published: June 2023

No abstract available
Sri Lanka Journal of Child Health, 2023: 52(2): 202-203
Prediction of histopathological grades of liver pathology in cholestasis by direct bilirubin, aspartate aminotransferase, alanine aminotransferase and albumin level
Authors: Setyoboedi Bagus , Soegianto Sugi Deny Pranoto , Arief Sjamsul
Published: June 2023

Background: Liver biopsy, a routine diagnostic procedure in Dr. Soetomo General Hospital Surabaya, is a valuable tool in the diagnosis, prognosis, and management of parenchymal liver disease. However, the correlation between histopathological features and direct bilirubin, aspartate transaminase (AST), alanine transaminase (ALT) and albumin level has not yet been established.
Objectives: To correlate various histopathological features with direct bilirubin, AST, ALT and albumin level of children with cholestasis.
Method: This is a retrospective study of 51 cases of cholestasis diagnosed and treated from January 2011 to December 2016. All biopsies were reviewed and graded by a semi-quantitative scoring system according to Muthukanagarajan et al and categorized into fibrosis, bile duct proliferation, cholestasis and duct plate malformation. Degrees of all features were compared with direct bilirubin, AST, ALT, and albumin level. Statistical analysis used one way ANOVA, Kruskal-Wallis and unpaired t-test. p<0.05 was considered significant.
Results: There were 30 males and 21 females with a median age of 3 (1-9) months and a mean weight of 5 (1.41) kg. Degree of fibrosis was negative (47%), mild (22%), moderate (31%) and severe (0%). Bile duct proliferation was negative (57%), mild (21%), moderate (14%) and severe (8%). Cholestasis was negative in 0%, mild in 14%, moderate in 69% and severe in 18%; duct plate malformation was negative in 63% and positive in 37%. Direct bilirubin level showed significant difference with degree of duct proliferation (p=0.024). There was no significant difference of AST level with all degrees of histopathological grade. ALT level showed significant difference with degree of fibrosis (p=0.043). Albumin level showed significant difference with degree of fibrosis (p=0.000), degree of duct proliferation (p=0.006) and duct plate malformation (p=0.037).
Conclusions: This study showed that while the direct bilirubin level was significantly associated with the degree of duct proliferation and the ALT level was significantly associated with the degree of fibrosis, the albumin level was significantly associated with the degree of fibrosis, degree of duct proliferation and degree of duct plate malformation.

Sri Lanka Journal of Child Health, 2023: 52(2): 142-147
Precision of hepatitis B virus pregenomic RNA test: a concern on novel biomarker for hepatitis B
Authors: Wiwanitkit Somsri , Wiwanitkit Viroj
Published: June 2023

No abstract available
Sri Lanka Journal of Child Health, 2023: 52(2): 255
Assessment of knowledge and treatment practices of hepatitis B infection in children among health professionals in Krachi districts in Ghana: a cross-sectional study
Authors: Mpangah Rebecca A. , Akyereko Ernest , Acheampong Gideon K. , Ansah-Nyarko Michael , Owusu Isaac , Sarfo Bismark
Published: June 2023

Background. Hepatitis B virus (HBV) infection remains one of the neglected infectious diseases. Children infected with HBV are at higher risk of becoming chronic carriers. Barriers to measures against HBV in children are attributed to inadequate knowledge by some health professionals. This study assessed knowledge and treatment practices of HBV in children among health professionals.Materials and Methods. A cross-sectional survey was conducted among health professionals (185) in three districts in Krachi using a structured questionnaire. Stata version 15 was used to analyze participants’ responses on awareness, knowledge, and treatment practices. Pearson’s product-moment correlation was used to determine the relationship between knowledge and treatment practices. Multivariate regression analysis assessed the relationships between variables at P0.05 and 95% confidence interval.Results. 20% were not aware of HBV in children and 85% had only fair knowledge about HBV in children. Only 29% indicated good knowledge and treatment practices of HBV in children. A unit increase in knowledge of HBV in children leads to a 1.42 unit increase in awareness (P0.01), and a 1.3 unit increase in treatment practice (P0.01) of HBV in children.Conclusions. Participants demonstrated only fair knowledge about HBV in children. Seminars and workshops on HBV in children for health professionals must intensify.
Evaluation of formaldehyde emissions by school supplies using a low-cost passive sampler and spectrophotometric determination
Authors: Furlan Caroline Giglio , Gomes Coelho Lucia Helena
Published: June 2023

This article presents the development and application of a low-cost passive monitor for indoor formaldehyde (CH2O) monitoring. The system is based on the diffusion sampling of formaldehyde and the pararosaniline reaction on a collection filter, followed by the elution and analysis of the product by spectrophotometry. The system was validated against a standard atmosphere of formaldehyde with 99% of collection efficiency. The device was applied in the assessment of formaldehyde emissions for school supplies (glitter glue, modeling clay, crayons, glue stick, felt pen, and plastic ink), in which the highest concentrations of formaldehyde were obtained for the felt-tip pen (approximately, 170 μg/g) and the lesser to glue stick (14 μg/g). The application of the passive sampler in a primary classroom environment demonstrated that relative high levels of formaldehyde can be measured in schools are usually considered to be linked to the high density of furniture in the classrooms, but it was also verified that school supplies can significantly contribute in the concentrations of formaldehyde indoor when associated to poor ventilation.
Jarisch[FIGURE DASH]Herxheimer reaction
Authors: Gautam Manjyot , Sethi Sahil , Nadkarni Nitin J.
Published: June 2023

Syphilis is caused by a spirochete, Treponema pallidum. Diagnosis of syphilis is made with a venereal disease research laboratory test. Treatment of choice is intramuscular injection benzathine Penicillin. The Jarisch[FIGURE DASH]Herxheimer reaction (JHR) is a transient immunological phenomenon that can occur in patients during treatment for syphilis with penicillin. It is a rare phenomenon but can be a potentially severe one. It manifests clinically with short-term constitutional symptoms such as fever, chills, headache, and myalgia, besides exacerbation of existing cutaneous lesions. We report the case of a 24-year-old man presenting with JHR posttreatment with benzathine penicillin.
Self-inflicted genital ulcer
Authors: Vedhanayagam Mohankumar , Rajagopalan Rajesh , Revathi K. , Dasar Hareeshkumar , Balamurugan B. R. , Srinivasahan K. G.
Published: June 2023

Self inflicted genital ulcer due to penile constriction injury is a rare clinical entity, which requires urgent management to prevent its devastating outcomes such as penile gangrene and auto amputation. Although this is common, definitely, it is of interest because of the genital involvement. Here, we present a case report on an unusual case of rubber band induced penile constriction injury.
Study of serum level of kisspeptin and interferon-beta in genital wart patients
Authors: Eldeen Bazid Heba Allah Saad , Marae Alaa H. , Tayel Nermin , Zaid Shereen G. , Mostafa Mohammed I. , Abd El Gayed Eman Masoud
Published: June 2023

Background:

Researchers are interested in genital wart (GW) studies due to their increased incidence. In a single experimental research, virally infected mouse models showed elevated kisspeptin levels and low interferon levels.

Objective:

The objective of the study was to evaluate the serum levels of kisspeptin and interferon (INF)-beta in GW patients.

Patients and Methods:

Forty patients with GWs and forty healthy participants of comparable age and sex as a control group were included in this case–control study. Serum levels of kisspeptin and IFN-beta were measured using ELISA during the period from December 2021 to April 2022.

Results:

Kisspeptin was significantly higher among cases than controls, whereas IFN-beta level was lower among cases than controls (P < 0.001). There were no significant relations between kisspeptin and IFN-beta levels and the clinical data for the studied participants, and there was no significant correlation between both (P > 0.05).

Conclusion:

The reported increased kisspeptin level which was associated with decreased interferon-beta level in patients with GWs might indicate a new insight into viral infection pathogenesis. Further research including all steps in kisspeptin/G protein-coupled receptor 54 pathway is required. Targeted therapy for this pathway may be of value for those patients.