bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of Smart Security System in
Agriculture fields Using Embedded Machine
Learning
Authors: v viswanatha , A.C Ramachandra , Hegde Puneet T , V Raghunatha Reddy M , Hegde Vivek , Sabhahit Vageesh 
Published: August 2023

Abstract
Tiny Machine Learning (TinyML), a branch of
machine learning that focuses on the effectiveness of machine
learning on extremely constrained edge machines, is flourishing.
Deep learning techniques are being used more frequently lately
in a variety of data-intensive and time-sensitive Internet of
Things (IoT) apps. Because MCUs lack resources like RAM,
deploying new methods like Deep Neural Networks (DNN)
models on them has proven challenging. However, recent
developments in the TinyML space promise to create a
completely new class of peripheral apps. By eliminating the need
for the cloud's omnipresent computing support, which uses
power and presents risks to data security and privacy, TinyML
paves the way for the development of original apps and services.
Traditional machine learning needs a lot of processing capacity
to predict a scenario. This computational capacity will be moved
from high-end systems to low-end devices thanks to the TinyML
method for machine learning on small devices. To keep the
precision of the learning models, enable resource-efficient small
edge devices to manage the training and deployment process,
maximize computing capacity, and enhance dependability are
some of the challenges presented by this change. Here in this
paper, we propose a efficient method to detect animals near
farmland for security purposes using TinyML and compared
with many algorithms and their effectiveness.
The Effectiveness and Safety of the Treatment of Severe Pneumonia by Clearing away Lung Heat and Relieving Asthma: study protocol for a clinically randomized, controlled trial
Authors: Shi Rong , Menghan XU , Yu Ma , Qing YE , Wenqing WANG , Chengwei YIN , Qianmei ZHOU 
Published: August 2023

Abstract
OBJECTIVE: Severe pneumonia (SP) is a common serious respiratory infectious disease that causes rapid changes in health and has a high fatality rate.To date, timely and effective anti-infection strategies and rational and scientific mechanical ventilation have failed to resolve early oxygenation conflicts in SP patients, and treatment is difficult. A clinical combination of traditional Chinese medicine (TCM) treatments is a feasible approach. This single-center RCT was designed to validate the safety and efficacy of a method for treating SP by clearing lung heat and relieving asthma.
METHODS AND ANALYSIS: This is an ongoing single-center RCT to confirm the efficacy and safety of the method of clearing away lung heat and relieving asthma in treating SP. The study was initiated on September 24, 2022, and is scheduled to be completed on September 30, 2024. This trial collected 92 patients with SP admitted to Shuguang Hospital, affiliated with the Shanghai University of Traditional Chinese Medicine, and divided them into two groups in a ratio of 1:1 using a randomized number table. We obtained informed consent from the patients in the form of a written informed consent document signed by human participants. To develop a treatment regimen in addition to this prescription, the treatment group was referred to the Chinese guidelines for the diagnosis and treatment of community-acquired pneumonia in adults (2018 edition). The patients in the control group received only basic treatment for 12 ± 2 days, and they were observed for morbidity and mortality rates and safety indicators on day 28, and they were followed up on days 1, 3, 7, and 14 of treatment. SPSS 19.0 will be used for statistical analysis. All statistical tests will be two-sided.
DISCUSSION: The trial suggested in this research attempts to construct a randomized, controlled clinical study to establish an evidence-based basis for developing a relatively single, clinically operable treatment and new drug development.
Trial registration: A randomized and controlled study of Qingjin Pingchuan recipe in treating severe pneumonia, ChiCTR2200063694. Registered 14 September 2022, https://www.chictr.org.cn/showproj.html?proj=177431
The Evaluation of Giant-Cell Arteritis (Temporal Arteritis) Cases with Optical Coherence Tomography Angiography (OCT-A)
Authors: Kasikci Murat , Erturk Adem , Erogul Ozgur 
Published: August 2023

Abstract
AIM: This study aimed tomeasureinactive giant cell arteritis (GCA) using optical coherence tomography angiography (OCT-A) in patients previously affected by GCAand treated (patient group), and to compare these measures with those of healthy volunteers (control group).
METHODS: In this observational case-control study, 18 eyes of 18 GCA cases previously diagnosed, treated with anterior arteritic ischemic optic neuropathy (AAION) were examined. 22 eyes of 22 ophthalmically healthy volunteers were included in the study. After external ophthalmic examinations of all participants were performed, their measurements were made with serial OCT-A. Superficial capillary plexus (SCP), deep capillary plexus (DCP), foveal avascular zone (FAZ), area covering 300 degrees around the fovea (FD-300), choriocapillaris (CC), retinal nerve fiber layer (RNFL), cup/disc (C/D) ratio and optic disc vessel densities (OD-VD) were evaluated. A value of p<0.05 was considered significant for statistical analyses.
RESULTS: There was no difference between the two groups in terms of age, gender and shooting quality. Whole-SCP, SCP-foveal, SCP-parafoveal and SCP-perifoveal VD values were lower in the patient group. Whole-DCP, DCP-parafoveal and DCP-perifoveal VD values were also lower in the patient group than control group. FAZ areas were similar between groups, but the FD-300 VD was different. Whole-OD VD and inside-OD VD were significantly lower in the patient group. Peripapillary-OD VD and RNFL values were similar. The C/D ratio was higher in the patient group.The effect on the microvascular process was significant in OCT-A.
CONCLUSION: The results suggested that even if the ischemic process still continues and there is no active inflammation, microvascular structures may continue to be affected.
Empirical Bayes Inference on the Inverse Weibull Model
Parameters based on Characteristic Prior
Authors: Maswadah M. 
Published: August 2023

Abstract
Empirical Bayes has become increasingly popular and has been applied to many types of problems. To increase its popularity, a new method has been used for constructing prior density functions by utilizing the characteristic function. For comparing the empirical Bayes estimates based on the characteristic prior and the informative prior, the mean squared errors and the mean percentage errors for the inverse Weibull distribution parameters have been derived based on symmetric and asymmetric loss functions via Monte Carlo simulations. The simulation results indicated that the empirical Bayes based on the characteristic prior provides a better estimate and outperforms the informative gamma prior for different sample sizes. Moreover, the characteristic prior is flexible for applications without using hyperparameters. Finally, a numerical example is given to demonstrate the efficiency of the proposed priors.
Water level recognition based on strong edge and sparse constraints
Authors: Ren Guoheng , Wang Wei , Wei Hanyu , Li Xiaofeng 
Published: August 2023

Abstract

This paper takes the intelligent water level recognition instrument of Qingming Shanghe Park in Kaifeng as the experimental object, introduces the algorithm of strong edge and sparse constraint into the intelligent water level recognition instrument, and compares the recognition effect of the intelligent water level recognition instrument before and after the introduction of strong edge and sparse constraint algorithms. The results showed that the clarity value was approximately 10% higher, and the recognition speed was also significantly improved. The improvement of recognition speed can effectively promote the work efficiency of the whole method. Strong edges and sparse constraints can effectively improve the accuracy of water level identification, provide scientific and effective data and information for subsequent water resource management, and meet the needs of water resource managers to effectively grasp the law of water level. This can provide technical support for identification methods in other fields, and the ultimate goal is to promote the protection and management of water resources and reduce the harm of natural disasters on people.
User-Centered Development of a Mobile App to Assess the Quality of Life of Patients With Cancer: Iterative Investigation and Usability Testing
Authors: Beutter Chantal N L , Zeller Katharina , Martens Uwe M , Pfleiderer Bettina , Fegeler Christian 
Published: August 2023

Background
The treatment for cancer can have a negative impact not only on physical well-being but also on mental health and the quality of life (QoL). Health apps enable the monitoring of different parameters, but to date, there are only few that support patients with cancer and none that focuses on the assessment of QoL. Furthermore, patients as stakeholders are often only integrated at the late stage of the development process, if at all.

Objective
The aim of this research was to develop and evaluate a smartphone app (Lion-App) to enable patients with cancer to autonomously measure the QoL with an iterative, user-centered approach.

Methods
Patients with cancer were involved in a 3-stage process from conceptualization to the point when the app was available on the tester’s private device. First, focus groups with members (N=21) of cancer support groups were conducted to understand their expectations and needs. Thereafter, individual tests were performed. After developing a prototype that incorporated findings from the focus groups, a second test cycle was conducted, followed by a beta test lasting 2 months. In our app, the QoL can be assessed via a patient diary and an integrated questionnaire. Through all stages, usability was evaluated using the modular extended version of the User Experience Questionnaire (UEQ+), including the calculation of a key performance indicator (KPI). If possible, the impact of sex on the results was evaluated. As part of the beta test, usage rates as well as age-dependent differences were also assessed.

Results
A total of 21 participants took part in the initial 3 focus groups. In the subsequent usability testing (N=18), 17 (94%) participants rated their impression through the UEQ+, with a mean KPI of 2.12 (SD 0.64, range: –3 to 3). In the second usability test (N=14), the mean KPI increased to 2.28 (SD=0.49). In the beta test, the usage rate of 19 participants was evaluated, of whom 14 (74%) also answered the UEQ+ (mean KPI 1.78, SD 0.84). An influence of age on the number of questionnaire responses in Lion-App was observed, with a decrease in responses with increasing age (P=.02). Sex-dependent analyses were only possible for the first usability test and the beta test. The main adjustments based on user feedback were a restructuring of the diary as well as integration of a shorter questionnaire to assess the QoL.

Conclusions
The iterative, user-centered approach for development and usability testing resulted in positive evaluations of Lion-App. Our app was rated as suitable for everyday use to monitor the QoL of patients with cancer. Initial results indicated that the sex and age of participants seem to play only a minor role.
Penerapan Tools Fail2Ban Untuk Mencegah Serangan Brute Force Pada Web Server Online Learning Uhamka (OLU)
Authors: Ramadhani Yustika , Sholeh Muchammad 
Published: August 2023

This study aims to assist the internal team of BPTI UHAMKA in making the Online Learning UHAMKA (OLU) web server so that the login credentials of the UHAMKA academic community are protected from attempted brute force attacks. Fail2Ban is a server security tool where it detects login attempts according to the maximum pre-configured trial value. In its implementation, Fail2Ban which uses the python programming language is installed on the Online Learning UHAMKA (OLU) server that uses the CentOS 7 server operating system. In the way it works, Fail2Ban will block or ban IP addresses that try to log in consecutively within one hour. Based on the comparison before and before its implementation, it can be proven that Fail2Ban can detect brute force attacks that occur and ban the attacker's IP address.
En reise fra klassisk til nyere handelsteori
Authors: Gaasland Ivar 
Published: August 2023

Siden 1970-tallet har det vært en rivende utvikling innenfor handelsteori, motivert av empiriske observasjoner som ikke har passet med den klassiske teorien om komparative fortrinn. Ved komparative fortrinn drives handelen av forskjeller mellom land, og det utveksles varer som tilhører ulike næringer. Hva forklarer da den stadig økende handelen med liknende varer (som ølmerker) mellom liknende land (som Sverige og Danmark)? Og hvorfor domineres handelen av relativt få bedrifter, mens de fleste holder seg i hjemmemarkedet? Artikkelen ser nærmere på nyere handelsteori som kan bidra til å forklare slike observasjoner. Handel gjør det lettere å utnytte stordriftsfordeler i produksjon av differensierte varer innenfor en næring. Teorien viser at dette skaper gevinster ved handel som er uavhengig av komparative fortrinn. Et banebrytende trekk ved nyere teori er at produksjon og handel modelleres på bedriftsnivå. Ved å bringe inn forskjeller i produktivitet mellom bedrifter, skapes en ramme for å studere karakteristika ved bedrifter som opererer i internasjonale markeder. Tilgang til handelsdata på transaksjonsnivå – mellom kjøper og selger – har i tillegg åpnet et nytt univers for empiriske studier. I artikkelen gjennomgås og forklares noen viktige bidrag innenfor nyere handelsteori. Trekk ved norsk næringsstruktur drøftes avslutningsvis i lys av nyere handelsteori.
Abstract in English:A Journey from Classical to Modern Trade TheoryInternational trade theory has since the mid-1970s experienced a rapid development, motivated by empirical observations that seemed inconsistent with classical comparative advantage theory. Under comparative advantage, countries trade to takes advantage of their differences, i.e., countries exchange products across industries. What could then explain the increasing exchange of similar products (e.g., beer brands) between similar countries (e.g., Denmark and Sweden)? And why is trade dominated by relatively few firms, while most firms are confined to their home market? This article provides a survey of modern trade theory that illuminates such observations. Trade increases market size which makes it easier to exploit economics of scale in production of differentiated products within an industry. The theory demonstrates that this generates gains from trade decoupled from comparative advantage. A seminal feature of modern theory is that production and trade are modeled at the firm-level. By introducing differences in productivity between firms, it is possible to study characteristics of firms that operate in international markets. Recent access to trade data at the transaction level has opened a new universe for empirical studies in this area. This article presents some important contributions of the modern trade theory. In conclusion, features of the Norwegian industry structure are discussed and related to modern trade theory.
Mindre konflikt, mer matsikkerhet: En casestudie av Cauca, Colombia
Authors: Carpena Fenella , Bejarano Nury Bibian 
Published: August 2023

Denne artikkelen undersøker forholdet mellom konflikt og matsikkerhet i Cauca, Colombia. Vi benytter oss av det naturlige eksperimentet som kom i stand som følge av våpenhvilen i 2014 erklært av Colombias revolusjonære væpnede styrker (FARC), den største opprørsgruppen i landet. Våpenhvilen resulterte i en kraftig nedgang i FARC-relatert vold, som ble ytterligere befestet da den colombianske regjeringen og FARC inngikk en fredsavtale i 2016. Vi har gruppert kommunene vi studerer i Cauca i de som var svært utsatt for FARC-relatert vold ved referansetidspunktet (eksponeringsgruppen) og de som var mindre utsatt (kontrollgruppen). Ved å bruke difference-in-differences finner vi at på kort sikt er matsikkerheten større i husholdninger i eksponerte kommuner enn i husholdningene i kontrollkommuner, idet inngåelse av fredsavtalen er assosiert med 51 prosent fall i andelen husholdninger som opplever sult. Effektene varierer innenfor husstanden ved at barn får større forbedringer i sin kostholdskvalitet og matmengde enn voksne. Vi finner også bevis som tyder på at forbedringene i matsikkerhet kan ha vedvart på mellomlang sikt, fem år etter fredsavtalen. Denne casestudien av Cauca fyller et viktig tomrom i litteraturen, da sammenhengenen mellom matsikkerhet og konflikt så langt ikke har blitt studert på lokalt nivå.
Abstract in English:Less Conflict, More Food Security: A Case Study of Cauca, ColombiaThis paper investigates the relationship between conflict and food security in Cauca, Colombia. We take advantage of a natural experiment generated by the 2014 ceasefire declared by the Revolutionary Armed Forces of Colombia (FARC), the largest rebel group in the country. The ceasefire resulted in a steep decline in FARC-related violence, which was further solidified when the Colombian government and FARC reached a peace agreement in 2016. We classify our study municipalities in Cauca into those highly exposed to FARC-related violence at baseline (treated) and those with low exposure (control). Using difference-in-differences, we find that in the short run, households in treated municipalities are more food secure than those in control municipalities: the treatment is associated with a 51% drop in the proportion of households experiencing hunger. The effects vary within members of the household, with children showing larger improvements in diet quality and quantity than adults. We also find suggestive evidence that the gains in food security seems to have persisted in the medium term, five years after the peace agreement. By conducting a case study of Cauca, this study fills an important gap in the literature, which has so far obscured local understandings of the food security–conflict nexus.
Cardiac masses and the role of imaging in their diagnostic
Authors: Roungos Alexandros E. , Zăvoi Alexandra , Leonte Andreea , Bostan Mădălina M. , Dabija Anca , Bitere Eugen , Sascău Radu A. , Stătescu Cristian 
Published: August 2023

Abstract

Objectives
Myxomas are the most common primary tumors of the adult heart and should be considered in the differential diagnosis of intracavitary cardiac masses, along with thrombi and vegetations.

Methods
We report a case of a 64-year-old obese, hypertensive woman, who presented with dyspnea on moderate exertion as well as fatigue. The patient was admitted to our hospital after the discovery on transthoracic echocardiography of an intracardiac mass, which was highly suggestive for a left atrial myxoma.

Results
On admission, the patient presents no abnormalities on physical exam, with blood tests showing only slight deviations in the lipid profile. The ECG presents a normal sinus rhythm of 80/min with two premature ventricular contractions and a premature atrial contraction. Transthoracic echocardiography revealed the presence of a well-defined, pediculated, left atrial mass attached to the interatrial septum, measuring 25/17 mm, with no apparent interference in mitral valve motion. We supplemented our investigations with the use of transesophageal echocardiography which further defined the dimensions and location of the tumor, while also showing the presence of an atrial septal aneurysm associated to two small atrial septal defects measuring 6 mm and 7 mm respectively, with a left to right shunt. Cardiac CT examination confirmed the benign aspect of the mass and offered important anatomical elements, useful in preoperative planning. The patient was, therefore, admitted to our Cardiovascular Surgery department, where a successful surgical resection of the tumor was performed, without any local or systemic complications. The differential diagnosis of this mass included intracavitary thrombi, vegetations, as well as other histological subtypes of benign or malignant tumors, while the presence of an atrial septal defect, which represents a possible source of paradoxical emboli, provided an additional challenge.

Conclusions
This complicated case stands out due to its particular echocardiographic appearance and emphasizes the importance of a comprehensive evaluation in both the differential diagnosis and preoperative assessment.
Dashboard Monitoring Penjualan Luckymart Nippon Paint
Authors: Stefano Kennedy , Tony  , Dolok Lauro Manatap 
Published: August 2023

Pada artikel ini, penulis merancang dashboard monitoring pada Luckymart Nippon Paint. Sistem Dashboard Monitoring dibangun untuk digunakan sehingga memudahkan pemilik toko dalam melakukan pemantauan terhadap penjualan yang disesuaikan dengan kebutuhan Luckymart. Cat merupakan produk yang digunakan untuk melindungi dan memberikan warna pada sebuah objek dengan melapisinya dengan lapisan berpigmen. Tujuan perancangan dashboard ini adalah menciptakan aplikasi monitoring dengan menggunakan dashboard pada sistem penjualan produk untuk mengatasi permasalahan pada proses penjualan produk pada Luckymart Nippon Paint. Data penjualan yang digunakan dalam perancangan dashboard monitoring adalah detail penjualan Luckymart dari bulan Januari hingga Desember tahun 2021. Rancangan desain dashboard menggunakan metode prototyping. Kemudian data yang sudah divisualisasikan tersebut dapat digunakan untuk mempermudah pengguna atau user dalam mengetahui detail dan informasi penjualan Luckymart berdasarkan produk, waktu, Interpriser, kategori produk, sub kategori produk serta laporan penjualan. Perancangan dashboard monitoring akan menggunakan business intelligence tools yakni Microsoft Power BI.
PERBANDINGAN KNN DAN SVM UNTUK KLASIFIKASI KUALITAS UDARA DI JAKARTA
Authors: Valentino Jayadi Bryan , Handhayani Teny , Dolok Lauro Manatap 
Published: August 2023

The growth and economic development of a city is one of the factors causing air pollution because air quality has been mixed with various components of chemical compounds such as motor vehicle exhaust gases and factory smoke waste. Data mining is a method to find out information about air pollution in the city of Jakarta. The data mining method used is classification because this method can process air pollution standard index (AQI) parameter data into information that can show the level of air quality per day using the K-Nearest Neighbor algorithm and Support Vector Machine.
The result of the application of data mining for air quality classification in Jakarta is that the Support Vector Machine algorithm has better accuracy performance compared to the K-Nearest Neighbor algorithm. The Support Vector Machine algorithm uses the RBF kernel and 100 kernel parameter gets an accuracy value of 98%, precission of 97%, recall of 97%, and F1-Score of 97% while the K-Nearest Neighbor algorithm uses the number of K as much as 6 gets an accuracy value of 96%, precission of 96%, recall of 93%, and F1-Score of 94%.
MANAJEMEN PROYEK PEMBUATAN DASHBOARD UNTUK VISUALISASI CURAH HUJAN DI JAKARTA
Authors: Richard  , Mulyawan Bagus 
Published: August 2023

Project management is a way for organizing to managing and completing projects from start to finish. Using weather data collected from BMKG to carry out data processing by creating a dashboard to display rainfall visualizations using Power BI. This methode research implements use the BI roadmap method. The purpose of this research is to be one of the ways to make decisions. The purpose of the results in this research, it is hoped that making a dashboard visualizations can be useful for users, namely everyone who needs weather information for outdoor activities.