bluuebunny/crossref_metadata_2025 huggingface dataset:
Régimen farmacopornográfico
Authors: Rodríguez López Elsa
Published: July 2023

Este trabajo estudia los aportes y limitaciones del concepto de «régimen farmacopornográfico» propuesto por Paul B. Preciado junto con los pilares que lo constituyen: el farmacopoder y el pornopoder. El análisis será complementado con las aportaciones de otros autores, destacando las de Judith Butler, filósofe de referencia para el autor, cuyas teorías sobre el género y el cuerpo han influido de forma indiscutible en las posteriores investigaciones sobre la identidad. A través del estudio del pensamiento de ambos será posible llegar a una mejor comprensión de lo que Paul B. Preciado denomina «farmacopornocapitalismo» y también dirimir las aportaciones y límites de la teoría del autor.
Su trabajo ha sido indiscutiblemente revolucionario en materia de género e identidad, poniendo en tela de juicio categorías naturalizadas y exhibiendo las dinámicas biopolíticas de opresión y discriminación que encarnan nuestra existencia. Reconociendo esto, también debemos poner sobre la mesa los límites en su planteamiento, donde algunas veces la provocación le lleva a afirmaciones que difieren del objetivo final de su teoría: mostrar cómo actúa el control en los cuerpos y encontrar una salida a este.
respuesta retardada
Authors: Waldenfels Bernhard , Ávalos Bernardo
Published: July 2023

El presente artículo parte de la imagen proustiana de la puerta que se abre con el objetivo de desarrollar la pregunta sobre qué es lo que se encuentra al otro lado del umbral, así como sobre el estatus del tiempo y de la realidad que el narrador recobra al final de En busca del tiempo perdido. Como intentaremos mostrar, lo que aguarda del otro lado de la puerta no remite a una iluminación mística ni a un estado de meditación contemplativa, sino más bien al trabajo de expresión de una escritura responsiva que hace visible lo invisible.
expansión hermenéuticamente actualista para la interpretación del repertorio histórico musical
Authors: Mestre Zaragozá Salvador
Published: July 2023

Mediante la discusión de un artículo del musicólogo Carlos Villanueva, tomado como paradigma de un determinado tipo de discurso, problematizamos la noción de interpretación histórica para confrontar al historicismo sonoro no una lúcida crítica presentista sino un enfoque actualista capaz de contraponerse con solidez filosófica y artística a las prácticas museísticas del historicismo musicológico típicamente basado en una pretensión de objetivismo sonoro supuestamente respaldada por las disciplinas historiográficas. Esta expansión hermenéuticamente actualista, tanto de la noción de autenticidad como de fidelidad a la intención del compositor, fundamentaría prácticas interpretativas que acercasen mejor el repertorio histórico al oyente actual sin el lastre del canon estético típicamente imperante en las salas de concierto. Porque, ¿y si mediante un enfoque actualizador novedoso la labor interpretativa del repertorio histórico musical lograse comunicar mejor a la idiosincrasia social actual las grandes obras del pasado sin renunciar a un rigor de adecuación estilística ni traicionar, o incluso preservando mejor aún, la intención del compositor?
Perder el mundo, caer en la carne
Authors: Rudy Hiller Daniel
Published: July 2023

Este artículo se propone ofrecer una muestra de la agudeza fenomenológica de la prosa de Roberto Arlt, el novelista argentino más influyente del siglo XX, mediante el estudio de un apartado de su novela más célebre: Los siete locos (1929). En él, el narrador-cronista describe la crisis psicótica sufrida por el protagonista tras ser abandonado por su esposa, descripción cuyos términos coinciden de manera sorprendente con los de la fenomenología de la vida de Michel Henry. Arlt, sin embargo, añade avant-la-lettre una dimensión insospechada a la vertiente fenomenológica inaugurada por Henry, a saber: la descripción de la escisión esquizoide como la pérdida del mundo y la caída en la carne. Pero más allá de consistir en una determinación eidética de este trastorno, la originalidad de Arlt en cuanto fenomenólogo reside en el dispositivo narrativo que le permite asir la textura de las vivencias del protagonista. En ese sentido, la representación estereoscópica propia de la novela y el lenguaje metafórico del que se vale para figurar la vida invisible de la carne pueden ser considerados como el aporte específico de la ficción a la fenomenología existencial y a la psiquiatría fenomenológica.
Acerca de mi cuerpo en el mundo de la vida
Authors: Serrano de Haro Agustín
Published: July 2023

El ensayo es una réplica al artículo de Claude Romano «Après la chair». Sostengo en él que las dos objeciones fundamentales que el filósofo francés plantea a la comprensión husserliana del cuerpo vivido se basan en una interpretación incorrecta de la distinción entre Körper y Leib. La condición corpórea de los vivientes no alude en absoluto a la objetivación científica de los organismos, sino a la dimensión de cosa de la experiencia, perceptible, visible, tocable, que posee todo ser vivo en el mundo de la vida. La condición corporal de los vivientes, por su parte, no nace del fenómeno de las dobles sensaciones en que el cuerpo se toca a sí mismo, sino que remite a la condición espaciosa de la sensibilidad táctil que, al extenderse por principio, es el fundamento descriptivo de que puedan duplicarse las sensaciones en el contacto entre miembros corporales. La conclusión es que la pretendida superación de la fenomenología husserliana del cuerpo es, en este caso, una apuesta vacía.
apercepción transcendental inmediata y su descomposición en fenomenología
Authors: Richir Marc , Suárez Astaiza Jeison Andrés
Published: July 2023

La refundición de la fenomenología que hemos emprendido desde las Meditaciones fenomenológicas (1992) nos ha conducido, aquí, a reexaminar la cuestión de la apercepción transcendental y la del cogito transcendental tal y como se conoce en Husserl. La problemática de la fenomenalización y del esquematismo fenomenológico de los fenómenos como nada más que fenómenos conducen a su descomposición en tres registros arquitectónicos, cuya estructura común es siempre la de una discordancia en la concordancia: el registro fuera del lenguaje con sus proto-temporalizaciones inestables, el registro del lenguaje con sus temporalizaciones en presencia sin presente asignable, y el registro propiamente husserliano de los sentidos intencionales, temporalizándose en presentes. En este contexto, se examina la cuestión de la Stiftung propia de los a priori eidéticos husserlianos.
Mídia e direitos humanos : o caso do Jornal de Angola e Semanário Angolense
Authors: Gilson Lázaro
Published: July 2023

This article aims at comparing the coverage of two Angolan newspapers on human rights violations by public institutions. The civil war and the violations that emerged were dominant approaches in the press in Angola throughout the 1990s. The civil war which ended in 2002 led to a change of approach in the Angolan press and increased demand on the freedoms of expression and information. Despite the diversity of newspapers in Angola, the journalistic practice remains marked by constraints of various kinds. This article text focuses on the information during the biennium 2008-2009.
Chercher le fantôme dans le pixel. Vers une esthétique du complot dans le found footage d’horreur
Authors: Bernolin Thomas
Published: July 2023

Le cinéma d’horreur « found footage » nourrit a priori un discours alarmiste, inquiétant, voire parasitaire au sujet de l’abondance d’objets technologiques contemporains. Il est sans nul doute le vecteur d’un sentiment d’insécurité et de paranoïa collectif.Depuis quelques années, le sous-genre cinématographique envahit les artefacts des nouveaux médias (YouTube, TikTok, Snapchat, etc.). En manipulant une imagerie « pauvre », ces produits filmiques — courts-métrages expérimentaux, creepypastas (légendes urbaines) — exploitent le prétendu statut documentaire de l’image. Ils matérialisent une esthétique du complot qui cause un besoin d’enquêter sur leur signification souterraine. Pour démêler le réel du fictif, l’internaute doit par conséquent décoder, découper et ausculter les indices visuels compris dans les vidéos. Les spectateur·ices prennent alors part à un jeu de piste underground consistant à courir après la (dés)information et les réalités alternatives pour ainsi mieux fuir le monde réel.À partir d’un corpus de vidéos YouTube, mes questions seront les suivantes : l’esthétique numérique et le mode de diffusion propres aux nouveaux médias engendrent-ils des affects particuliers ? Comment ces nouvelles formes emploient-elles une « esthétique du complot » ? Les symboles dissimulés dans l’image figurent-ils une nouvelle façon de capter l’attention des spectateur-ices, de les faire interagir avec le dispositif audiovisuel ? Comment ces vidéos stimulent-elles non seulement des fantasmes voyeuristes mais aussi sadiques, unissant ainsi plaisir/rejet, et répondant à une angoisse directement corrélée à l’ubiquité des nouvelles technologies ?
« Girls living outside society’s shit » : la place des femmes dans la scène hardcore
Authors: Laurent Valentin
Published: July 2023

Au même titre que le punk ou le métal, le hardcore est un genre extrêmement codifié. La composition, les thèmes abordés, les prestations scéniques et les pratiques spectatorielles répondent, pour leur majorité, à un grand nombre de conventions appliquées avec une certaine orthodoxie. Lors des concerts, le public peut adopter une posture passive, mais il lui est également donné l’opportunité d’embrasser une attitude beaucoup plus active. Des espaces dédiés, matérialisés sous forme de « mosh pits », permettent à ce type de spectateur·ices de s’adonner à des comportements, en apparence violents, qui répondent eux aussi à des normes. De fait, la scène hardcore s’est longtemps vue attribuer une image à la fois violente et viriliste, voire sexiste. La présence de femmes dans le public, ou sur scène, a longtemps été omise. Et bien qu’une nette amélioration soit constatée, la grande part du public actif est encore largement masculine. Les hommes monopolisent l’espace et rendent l’intégration des femmes ou des minorités particulièrement difficile. Qu’en est-il donc de la place des femmes sur la scène hardcore ? Comment s’y insèrent-elles ? Adoptent-elles les mêmes pratiques que les hommes ? Ou développent-elles leur propre langage ? L’étude des pratiques spectatorielles et du cas des pits en non-mixité sera particulièrement pertinente afin d’analyser la manière dont les artistes et les publics s’attellent à combler le manque de diversité dans la scène, et quelles sont leurs stratégies pour en changer l’image.
Expérimenter l’exposition artistique : dans le labyrinthe de Martin Margiela
Authors: Soydinc Nadia
Published: July 2023

Dans l’exposition de Martin Margiela à Lafayette Anticipations, nous circulons dans un espace labyrinthique dicté par des cloisons, des stores rétractables ou encore des vitres teintées. Ces éléments scénographiques créent d’autres lieux au sein même de l’exposition, dans lesquels nous rencontrons intimement les œuvres. Au cours de notre déambulation, les œuvres apparaissent et disparaissent : elles peuvent être couvertes puis découvertes, retirées de l’espace visible puis réinstallées par des intervenants. Il s’agit en plus d’un jeu de regard, d’un jeu sur la temporalité. Le visionnage de ces œuvres dépend de l’endroit où l’on se trouve dans notre parcours et surtout à quel moment on s’y trouve. L’exposition est en mouvement constant. Cette scénographie ambivalente pensée à la fois pour troubler le spectateur dans son parcours mais aussi de l’orienter par des repères, le pousse à percevoir l’exposition dans son entièreté et non plus uniquement par les œuvres présentées. La déambulation du spectateur, très souvent automatique dans une exposition, est désormais considérée et consciente. Par ces stratégies scénographiques, l’artiste cherche à exercer le regard et l’attention du spectateur sur l’environnement et sa temporalité.
Pengaruh Budaya Organisasi dan Komitmen Organisasi terhadap Turnover Intention pada Protech Dry Cleaning & Laundry Makassar
Authors: Bahar Aulia Saputri , Musa Chalid Imran , Dipoatmodjo Tenri S.P. , Akbar Abdi , Nurman Nurman
Published: July 2023

Tujuan penelitian adalah untuk mengetahui pengaruh budaya organisasi dan komitmen organisasi terhadap turnover intention pada Protech Dry Cleaning & Laundry Makassar. Populasi pada penelitian ini adalah Karyawan Protech Dry Cleaning & Laundry Makassar. Pengambilan sampel pada penelitian ini dilakukan dengan teknik sensus. Keseluruhan karyawan yang berjumlah 83 orang dijadikan sampel responden. Jenis penelitian yang digunakan adalah kuantitatif. Data yang digunakan adalah data primer yang diperoleh dengan cara membagikan kuesioner kepada karyawan. Dari hasil penelitian ditemukan bahwa budaya organisasi (X1) secara parsial berpengaruh negatif dan signifikan terhadap turnover intention (Y), di mana t hitung (-3,462) < t tabel (1,988) dan Sig 0,001; komitmen organisasi (X2) secara parsial berpengaruh negatif dan signifikan terhadap turnover intention (Y) di mana t hitung (-3,460) < t tabel (1,988) dan Sig 0,001; dan secara simultan atau bersama-sama budaya organisasi dan komitmen organisasi berpengaruh signifikan terhadap turnover intention pada Protech Dry Cleaning & Laundry Makassar, di mana F hitung (46,440) > F tabel (3,10). Adapun nilai R square adalah sebesar 52.6%.
Pengaruh Komitmen Organisasi dan Motivasi terhadap Kinerja Karyawan pada Rumah Makan Pak Tjomot Cabang Daya Kecamatan Biringkanaya Kota Makassar
Authors: Ka’bak Febrianty Barrung , Haeruddin Muhammad Ilham Wardhana , Burhanuddin Burhanuddin , Sahabuddin Romansyah , Natsir Uhud Darmawan
Published: July 2023

Tujuan penelitian ini adalah untuk mengetahui Pengaruh Komitmen Organisasi dan Motivasi terhadap Kinerja Karyawan pada Rumah Makan Pak Tjomot cabang Daya Kecamatan Biringkanaya Kota Makassar. Populasi dalam penelitian ini adalah seluruh karyawan Rumah Makan Pak Tjomot Kota Makassar, yaitu sebanyak 30 orang dengan jenis penelitian kuantitatif. Data yang digunakan adalah data primer dan data sekunder yang diperoleh dengan menggunakan teknik penyebaran kuesioner dan dokumentasi. Hasil penelitian menunjukkan bahwa terdapat pengaruh positif antara variabel Komitmen Organisasi (X1) terhadap Kinerja karyawan (Y), dan terdapat pengaruh positif antara variabel Motivasi (X2) terhadap variabel Kinerja karyawan yang dapat ditunjukkan melalui persamaan regresi linier berganda yaitu Y= 17,974 + 0,634 + 0,196 + e  dan berpengaruh signifikan dengan nilai t hitung masing-masing variabel sebesar 3,013 > t tabel  (X1) dan 2,538 > t tabel (X2),  dengan taraf signifikansi 0,006 < 0,05 (X1) dan 0,003 < 0,05 (X2). Adapun nilai R Square sebesar 0,291 angka ini menunjukkan bahwa Variabel Komitmen Organisasi (X1) dan Variabel Motivasi (X2) pada penelitian ini memberikan kontribusi pengaruh sebesar 29,1%.
Analisis Talent Management, Kompensasi, Kepuasan Kerja terhadap Kinerja Tenaga Pengajar SD Negeri di Kecamatan Bojongmangu
Authors: Hermansah Rama , Baldah Nasrun
Published: July 2023

Abstract
Penelitian ini bertujuan untuk menganalisis hubungan antara talent management, kompensasi, serta kepuasan kerja terhadap kinerja tenaga pengajar. Jenis penelitian ini adalah penelitian kuantitatif. Populasi dalam penelitian ini adalah para tenaga pengajar SD Negeri di Kecamatan Bojongmangu yang berjumlah 167 orang. Metode pemilihan sampel yang digunakan dalam penelitian ini adalah metode yang dikembangkan oleh Arikunto. Untuk memperkuat validitas penelitian, maka jumlah sampel yang diambil adalah 35% dari total populasi 167 agar melebihi 50 orang, sehingga didapatkan sebanyak 58 orang sebagai sampel. Analisis data yang digunakan dalam penelitian ini adalah analisis regresi linear berganda. Hasil pengujian hipotesis dengan melakukan uji-t telah membuktikan bahwa secara parsial talent management, kompensasi, dan kepuasan kerja masing-masing berpengaruh terhadap kinerja tenaga pengajar. Adapun masing-masing nilai uji-t antar variabel adalah sebagai berikut: talent management (X1) t hitung (2,716) > t tabel (2,004); kompensasi (X2) t hitung (2,316) > t tabel (2,004); kepuasan kerja (X3) t hitung (6,254) > t tabel (2,004).
Pengaruh Kualitas E-Service terhadap Kepuasan Pelanggan Pengguna E-Commerce Shopee
Authors: Widayanti Diyah Astri , Rahayu Saptani , Hariyanti Hariyanti
Published: July 2023

Tujuan penelitian ini untuk mengetahui Pengaruh Kepuasan Pelanggan Pengguna E-Commerce Shopee melalui E-Service Quality yaitu: Efficiency, Fulfillment, Reliability, Privacy, Responsiveness, Compensation, dan Contact. Periode yang digunakan dalam penelitian ini adalah bulan Agustus 2022. Penelitian ini menggunakan pendekatan kuantitatif. Pengumpulan data dilakukan dengan menggunakan google formulir. Populasi dalam penelitian ini adalah pengguna e-commerce Shopee. Teknik pengambilan sampel yang digunakan adalah Quota Random Sampling dan telah diperoleh sampel sebanyak 100 reponden. Teknik analisis data yang digunakan adalah uji validitas dan reliabilitas, uji asumsi klasik, analisis regresi linear berganda, uji hipotesis, dan uji determinasi. Hasil penelitian menunjukan bahwa secara parsial efficiency berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Fulfillment berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Reliability berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Privacy berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Responsiveness berpengaruh positif dan tidak signifikan terhadap kepuasan pelanggan. Compensation berpengaruh positif dan tidak signifikan terhadap kepuasan pelanggan. Contact berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Hasil penelitian menunjukkan bahwa dimensi e-service quality yang telah memenuhi kepuasan pelanggan yaitu Efficiency, Fulfillment, Reliability, Privacy, dan Contact. Sedangkan dimensi e-service quality yang belum memenuhi kepuasan pelanggan adalah dimensi Responsiveness dan Compensation. Kemampuan e-service quality dalam memengaruhi kepuasan pelanggan sebesar 62,4% dan sisanya sebesar 37,6% dipengaruhi oleh faktor lain yang tidak dimasukkan ke dalam model penelitian ini.
Analisis Motivasi, Disiplin Kerja, dan Budaya Organisasi terhadap Kinerja Karyawan PT Kamigumi Logistics Indonesia
Authors: Kusumanegara Dadan , Baldah Nasrun
Published: July 2023

Penelitian ini bertujuan untuk menganalisis pengaruh motivasi, disiplin kerja, dan budaya organisasi terhadap kinerja karyawan PT Kamigumi Logistics Indonesia. Jenis penelitian ini yaitu kuantitatif menggunakan analisis statistik dengan aplikasi SPSS. Populasi dalam penelitian ini yaitu karyawan PT Kamigumi Logistics Indonesia sebanyak 110 orang, pemilihan sampel untuk penelitian ini yaitu 50% dari populasi, sehingga didapatkan 55 sampel. Analisis yang digunakan dalam penelitian ini yaitu regresi linier berganda. Setelah melakukan uji hipotesis melalui uji t diketahui bahwa nilai t hitung variabel motivasi 2.863, disiplin kerja 3.234, budaya organiasi 2.086, lebih besar dari nilai t tabel 2.00758, dan uji f dengan nilai f hitung 23.242 lebih besar dari nilai f tabel 3.18. Hal ini membuktikan bahwa baik secara parsial maupun simultan motivasi, disiplin kerja, dan budaya organisasi berpengaruh terhadap kinerja karyawan.
Analisis Pengaruh Kualitas Pelayanan, Kualitas Produk dan Harga terhadap Keputusan Pembelian di Marzu Shoop Lombok Kabupten Lombok Timur
Authors: Rosdiana Siti , Hadi Khaerul , Ariffianti Indah
Published: July 2023

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas pelayanan, kualitas produk dan harga terhadap keputusan pembelian secara parsial dan simultan dan mengetahui pengaruh secara dominan terhadap keputusan pembelian. Jenis penelitian ini merupakan jenis penelitian asosiatif. Teknik pengumpulan data menggunakan kuesioner dan dokumentasi. Populasi dalam penelitian ini adalah seluruh pelanggan yang pernah melakukan percetakan pada Marzu  Shoop Lombok Timur. Teknik pengambilan sampel menggunakan aksidental sampling, dengan jumlah sampel sebanyak 70 responden. Variabel penelitian ini terdiri dari tiga variabel independen, yaitu kualitas pelayanan (X1), kualitas produk (X2), dan harga (X3) serta variabel dependennya yaitu keputusan pembelian (Y). Data diperoleh dengan menyebarkan 70 kuesioner pada responden Marzu Shoop Lombok Timur. Teknik analisis data yang digunakan adalah analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa variabel kualitas pelayanan dengan nilai ????ℎi????????????g < ???????????????????????? yaitu 0,405 < 1,995 dengan nilai signifikan 0,686 > 0,05 tidak berpengaruh signifikan secara parsial terhadap keputusan pembelian, sedangkan variabel kualitas produk memiliki nilai ????ℎi????????????g > ???????????????????????? yaitu 5,728 > 1,995 dengan nilai signifikan 0,000 < 0,05 menunjukkan variabel kualitas produk berpengaruh signifikan secara parsial terhadap keputusan pembelian, dan variabel harga memiliki nilai ????ℎi????????????g > ???????????????????????? yaitu 2,751> 1,995 dengan nilai signifikan 0,008 < 0,05 yang menunjukkan variabel harga berpengaruh sinifikan secara parsial terhadap keputusan pembelian. Berdasarkan pengujian secara simultan, diketahui bahwa variabel kualitas pelayanan, kualitas produk, dan harga secara simultan berpengaruh signifikan terhadap keputusan pembelian. Melalui penghujian tersebut diperoleh nilai ????ℎi????????????g > ????????????????????????, yaitu 20,760 > 2,74 dengan nilai signifikan 0,000 < 0,05. Hasil penelitian ini menunjukkan bahwa variabel independen (kualitas pelayanan, kualitas produk, dan harga) mampu menjelaskan variabel dependen (keputusan pembelian) sebesar 46% sedangkan sisanya 53,8% keputusan pembelian dipengaruhi oleh variabel lain di luar dari variabel yang digunakan.
A Multi-Channel Text Sentiment Analysis Model Integrating Pre-training Mechanism
Authors: Liang Shengbin , Jin Jiangyong , Du Wencai , Qu Shenming
Published: July 2023

The number of tourist attractions reviews, travel notes and other texts has grown exponentially in the Internet age. Effectively mining users’ potential opinions and emotions on tourist attractions, and helping to provide users with better recommendation services, which is of great practical significance. This paper proposes a multi-channel neural network model called Pre-BiLSTM combined with a pre-training mechanism. The model uses a combination of coarse and fine- granularity strategies to extract the features of text information such as reviews and travel notes to improve the performance of text sentiment analysis. First, we construct three channels and use the improved BERT and skip-gram methods with negative sampling to vectorize the word-level and vocabulary-level text, respectively, so as to obtain more abundant textual information. Second, we use the pre-training mechanism of BERT to generate deep bidirectional language representation relationships. Third, the vectors of the three channels are input into the BiLSTM network in parallel to extract global and local features. Finally, the model fuses the text features of the three channels and classifies them using SoftMax classifier. Furthermore, numerical experiments are conducted to demonstrate that Pre-BiLSTM outperforms the baselines by 6.27%, 12.83% and 18.12% in average in terms of accuracy, precision and F1-score.
Mod2Panel: A Design Framework for Model-Based Automated Generation of Interactive Panels
Authors: Chen Gang , Wen Chunmei
Published: July 2023

A panel is an event-centric starting point for implementing a model-based interactive system. The design and construction of an interactive panel involve deciding what information to display, how to display it, and ways to implement the design intent to produce an interactive panel. Traditionally, the design of panels has been implicit in the deployed applications, rather than explicitly considered as digital artifacts. In addition, users must realize this implicit design manually by coding or configuring it on programming platforms, resulting in hampered and time-consuming control and analysis. Besides, current tools do not have a unified generation mechanism, which makes it difficult for cooperation. In this paper, we propose a unified framework Mod2Panel, which enables users to draw their interactive panel designs as models and can automatically generate interactive panels from these models. The models are described in a modeling language that involves structures, behaviors, layout, and parameters. Mod2Panel also provides a GUI-assisted editor for customization to fine-tune the generated panels and update their associated models. With the capabilities of Mod2Panel, users can unify prototyping, generation and deployment in this framework for purposes of operation and control. We evaluate its effectiveness and efficiency in applied case studies on complex control systems and system modeling, in which Mod2Panel successfully generates interactive panels to support control monitoring and system-level analysis. The operations in the generated panel systems demonstrate the effectiveness of Mod2Panel for real-world scenarios.
Forecasting Secondhand Tanker Price Through Wavelet Neural Networks Based on Adaptive Genetic Algorithm
Authors: Ma Xingyu
Published: July 2023

Seaborne crude oil remains the main source of energy in the modern world in terms of volume, accounting for nearly half of all internationally traded crude oil. The shipping market is already characterized by high volatility, coupled with the impact of COVID-19 lockdown and geopolitics events. Price forecasting has become a necessary and challenging task for shipowners and other stakeholders. In the shipping market forecasting literature, the usual focus is on the newbuilding ship price or freight rate. A limited number of literature is for secondhand tanker price. On the other hand, there is few literature that use wavelet neural networks based on adaptive genetic algorithm (AGA-WNN) to predict shipping market. This paper mainly studies the application of the hybrid model to secondhand price prediction of 5 kinds of tanker sizes. The performance of AGA-WNN on time series of 10 and 15 years is compared with the basic performance provided by the six benchmark models, using three error metrics and two statistical tests. We can point out that AGA-WNN provides encouraging and promising results, outperforming the baseline models in both accuracy and robustness. It can be said that AGA-WNN gives the best overall predictive performance.
Lane Detection with Deep Learning: Methods and Datasets
Authors: Li Junyan
Published: July 2023

Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, we present a comprehensive literature review for lane detection, especially those with deep learning models. The latest collection of lane detection datasets is presented. We further fill the research gap by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.
Protest Event Analysis: A New Method Based on Twitter’s User Behaviors
Authors: Hossein Zadeh Mahmoud , Cicekli Ilyas
Published: July 2023

Protest Event Analysis is important for government officials and social scientists. Here we present a new method for predicting protest events and identifying indicators of protests and violence by monitoring the content generated on Twitter. By identifying these indicators, protests and the possibility of violence can be predicted and controlled more accurately. Twitter user behaviors such as opinion share and event log share are used as indicators and this study presents a new method based on a Bayesian logistic regression algorithm for predicting protests and violence using Twitter user behaviors. According to the proposed method, users’ event log share behaviors which include the rate of tweets containing date and time information is the reliable indicator for identifying protests. Users’ opinion share behaviors which include hate-anger tweet rates is also best for identifying violence in protests.
A dataset which consists of tweets that are generated on protests in the Black Lives Matter (BLM) movement after the death of George Floyd is used in the evaluation of the proposed method. According to information published on acleddata.com, protests and violence have been reported in various cities on specific dates. The dataset contains 1414 protest events and 3078 non-protest events from 460 cities in 37 U.S. states. Protest events in the BLM movement between May 28 and June 30 among which 285 were violent and 1129 were peaceful. Our proposed method is tested on this dataset and the occurrence of protests is predicted with 85% precision. It is also possible to predict violence in protests with 85% precision with our method on this dataset. This study provides a successful method to predict small and large-scale protests, different from the existing literature focusing on large-scale protests.
Breast Cancer Prognosis Based on Transfer Learning Techniques in Deep Neural Networks
Authors: Diwakaran M. , Surendran D.
Published: July 2023

Breast cancer is a major cause of death among women in both developed and underdeveloped countries. Early detection and diagnosis of breast cancer are crucial for patients to receive proper treatment and increase their chances of survival. To improve the automatic detection and diagnosis of breast cancer, a new deep learning model called “Breast Cancer Prognosis Based Transfer Learning (BCP-TL)” has been developed. This model uses transfer learning, which applies the knowledge gained from solving one problem to another relevant problem. The model is based on a pre-trained convolutional neural network (CNN) that extracts features from the mammographic image analysis society (MIAS) dataset. Four different CNN architectures were used in thismodel: AlexNet, Xception, ResNeXt, and Channel Boosted CNN. The performance of the model was evaluated using six metrics, including accuracy, sensitivity, specificity, precision, F1-score, and the area under the ROC curve (AUC). The combination of Xception and Channel Boosted CNN showed excellent performance. By combining essential features from multiple iterations, the Channel Boosted CNN can achieve higher accuracy in breast cancer diagnosis, with an overall accuracy of 98.96%. This highlights the potential of the BCP-TL model in effectively detecting and diagnosing breast cancer.
Underwater Object Detection Based on Improved Transformer and Attentional Supervised Fusion
Authors: Li Zhi , Li Chaofeng , Guan Tuxin , Shang Shaopeng
Published: July 2023

Underwater object detection is one of the important technologies for improving the efficiency of underwater inspection, but the existing methods still suffer from the problems of missed detection and insufficient target localization capability of targets. To address these problems, an improved Transformer and multi-scale attentional supervised feature fusion-based underwater object detection method is proposed. In our method, the underwater objects are preprocessed by prior knowledge first. Then, a new coordinate decomposition window-based (CDW) Transformer block is proposed to extract spatial location information more accurately, and scaling factors are introduced to reduce the intermediate computation. Finally, an attentional supervised fusion (ASF) method is proposed to strengthen the link between feature extraction and feature fusion, and further improve the detected performance by using compound attention weights. The cascade detection head is improved, where the information flow is reversed to enhance the prediction of coordinates. The average accuracy of the proposed method on the URPC and DUO datasets is 3.7% and 3.8% higher than that of the baseline network through the cross-test, and outperforms the state-of-the-art methods. This study can provide a reference for engineering applications such as automated marine operations and biodetected fishing techniques.
Image Segmentation Combining Pulse Coupled Neural Network and Adaptive Glowworm Algorithm
Authors: Zhu Juan , Ma Yuqing , Huang Jipeng , Wang Lianming
Published: July 2023

Image segmentation is one of the key steps of target recognition. In order to improve the accuracy of image segmentation, an image segmentation algorithm combining Pulse Coupled Neural Network(PCNN) and adaptive Glowworm Algorithm(GA) is proposed. The algorithm retains the advantages of the GA. Introduce the adaptive moving step size and the population optimal value as adjustment factors. Enhance the ability to solve the global optimal value, and takes the weighted sum of the cross entropy, information entropy and compactness of the image as the fitness function of the GA. Maintain the diversity of image features and improving the accuracy of image segmentation. Experimental results show that compared with other algorithms, the segmented image obtained by this algorithm has better visual effect and the segmentation performance has the best comprehensive performance. For the seven gray-scale images in the Berkeley segmentation dataset, the segmentation effect is improved by 10.85% compared with TDE algorithm, 9.22% compared with GA algorithm, and 22.58% compared with AUTO algorithm.
Text Document Clustering Approach by Improved Sine Cosine Algorithm
Authors: Radomirović Branislav , Jovanović Vuk , Nikolić Bosko , Stojanović Sasa , Venkatachalam K. , Zivkovic Miodrag , Njeguš Angelina , Bacanin Nebojsa , Strumberger Ivana
Published: July 2023

Due to the vast amounts of textual data available in various forms such as online content, social media comments, corporate data, public e-services and media data, text clustering has been experiencing rapid development. Text clustering involves categorizing and grouping similar content. It is a process of identifying significant patterns from unstructured textual data. Algorithms are being developed globally to extract useful and relevant information from large amounts of text data. Measuring the significance of content in documents to partition the collection of text data is one of the most important obstacles in text clustering. This study suggests utilizing an improved metaheuristics algorithm to fine-tune the K-means approach for text clustering task. The suggested technique is evaluated using the first 30 unconstrained test functions from the CEC2017 test-suite and six standard criterion text datasets. The simulation results and comparison with existing techniques demonstrate the robustness and supremacy of the suggested method.
Sociodemographic and Neuroimaging Evaluation of Patients with Multiple Sclerosis and Radiologically Isolated Syndrome in Isfahan, Iran
Authors: Hassanzadeh Sara , Mirmosayyeb Omid , Bagherieh Sara , Afshari-Safavi Alireza , Barzegar Mahdi , Moases Ghaffary Elham , Shaygannejad Vahid
Published: July 2023

Background: Multiple sclerosis (MS) is categorized into four subtypes, including clinically-isolated syndrome (CIS), primary progressive multiple sclerosis (PPMS), secondary progressive multiple sclerosis (SPMS), and relapsing-remitting multiple sclerosis (RRMS). On the other hand, radiologically-isolated syndrome (RIS) is characterized by the imaging manifestations of MS rather than its clinical symptoms. Objectives: This study aimed to compare the sociodemographic and neuroimaging findings of different MS phenotypes and RIS. Methods: The current cross-sectional study was conducted on 3716 patients at the Multiple Sclerosis Clinic of Kashani Hospital, Isfahan, Iran, from June 2018 to April 2019. Patients presenting with RIS, CIS, and MS were included in this study. Results: The age of disease onset was remarkably lower in patients with RRMS, while the body mass index was significantly higher in RIS (P-value < 0.05). Other factors, including gender, occupation, marital status, smoking, and family history of MS, showed no significant difference (P-value > 0.05). Neuroimaging assessments revealed significant differences in terms of the location of the plaques, the activity of the plaques, brain atrophy, lesion load, the number of cervical plaques, and the presence of longitudinally-extended transverse myelitis (P-value < 0.05), but not regarding the activity of cervical and thoracolumbar plaques and the number of thoracolumbar lesions (P-value > 0.05). Conclusions: Different MS phenotypes showed variations in terms of sociodemographic and neuroimaging characteristics. Follow-up studies are recommended to determine the risk factors predicting the conversion of RIS and CIS to other MS phenotypes.
Autism Spectrum Disorder is Related to Increasing Intestinal Prevotella That Can Be Regulated by Vitamin A
Authors: Xu Xiaoou , Zhang Yun , Zhang Xiaojuan
Published: July 2023

Background: Increasing studies suggest that the microbiome-gut-brain axis plays a fundamental role in developing autism spectrum disorder (ASD). Objectives: We aimed to explore biomarkers from gut bacteria in ASD and the dietary vitamin A (VitA) relationship with intestinal bacteria of autistic children and provide a theoretical basis for dietary regulation of ASD. Methods: Ten autistic children aged 2 to 6 from special training facilities were enrolled from 2017 to 2018. At the same time, 10 healthy children aged 2 to 6 from a kindergarten were collected as a control. All participants were from Chongqing, China. The 16sRNA amplicon sequencing was used to analyze children's intestinal bacteria. The serum retinol level was detected by high-performance liquid chromatography (HPLC), and children's dietary intake was analyzed using three-day 24-hour dietary recalls. Results: There were significant differences in alpha diversity between the groups. Also, a higher relative abundance of Prevotellaceae, Prevotella 9, and Roseburia was observed among ASD children. We also found decreases in 9 bacteria (Enterobacteriales, Gammaproteobacteria, Enterobacteriaceae, Clostridiaceae 1, Clostridium sensu stricto 1, Escherichia-Shigella, Bacteroides fragilis, Escherichia coli, and Clostridium neonatale). Dietary VitA intake and serum retinol concentration were lower in the ASD group than in the control group. Meanwhile, serum VitA had a significantly negative correlation with the abundance of intestinal Prevotella 9. Conclusions: Our study helps identify some bacterial biomarkers for ASD, as in previous reports. Meanwhile, the study suggests that dietary VitA may be involved in the clinical symptoms of ASD by regulating the intestinal bacteria Prevotella. It may provide a new way to treat ASD in the future. Further studies are needed to identify the results by expanding the sample size and developing animal experiments.
The Efficacy of Mindfulness-Based Cognitive Therapy on Disease Perception, Body Image, and Fear of Cancer Recurrence in Women with Breast Cancer
Authors: Bateni Moghadam Negar , Heidari Hassan , Zare Bahram Abadi Mahdi , Hamidi Pour Rahim
Published: July 2023

Background: Currently, the prevalence of breast cancer and its debilitating consequences are increasing, causing adverse personal, family, and social effects in patients. Therefore, patients with breast cancer should try to reduce the injuries described above through various treatment methods. Objectives: This study aimed to assess the efficacy of mindfulness-based cognitive therapy (MBCT) on disease perception, body image, and fear of cancer recurrence in women with breast cancer. Methods: This applied study was designed based on a pre-test and post-test. The study included 30 participants, 15 test groups (15 people), and 15 control groups (15 people). A test group was used for MBCT, while the other was not exposed to the intervention. Eight 90-minute sessions were held weekly for the test group for two months. The research tools included the Broadbent Illness Perception Questionnaire (BIPQ), Multidimensional Body-Self Relations Questionnaire (MBSRQ), and Fear of Cancer Recurrence Inventory Questionnaire (FCRIQ). Finally, the resulting data were analyzed by SPSS software Version 25. Results: The statistical test of covariance analysis showed that the MBCT method significantly affects disease perception, body image, and fear of disease recurrence in women with breast cancer (P < 0.05). Conclusions: Based on the results, the MBCT method can help manage breast cancer in women. Therefore, breast cancer patients can improve their quality of life and life expectancy by learning this treatment method.
Measuring the Maturity Level of Human Capital Management at Mycotech Lab
Authors: Gultom Naomi Theresia , Welly John
Published: July 2023

Mycotech Lab, an Indonesian biotechnology start-up founded in 2015, specializes in producing environmentally friendly materials using agricultural waste and mushroom mycelium. The company primarily uses a business-to-business (B2B) model to sell its products. However, only one of their products significantly contributes to the company's revenue, indicating an issue regarding innovation performance. Innovation is generated through human capital, and effective human capital management (HCM) is essential for creating value, including innovation. This study aims to assess the level of HCM maturity at Mycotech Lab and provide recommendations for its improvement. This study utilizes the HCM maturity framework developed by Bassi and McMurrer, which evaluates 5 drivers together with 23 practices of HCM. This study adopts a quantitative approach, utilizing an online questionnaire to collect data from 36 management employees of Mycotech Lab. The findings reveal that Mycotech Lab has a marginal level of HCM maturity, with 72.2% of respondents demonstrating an understanding of the company's HCM implementation. However, certain practices within each driver remain at a poor level, and 27.8% of respondents have a poor understanding of the company's HCM implementation. Therefore, the researcher recommends that Mycotech Lab undertake rearrangement, investment, and evaluation to enhance HCM maturity. Additionally, improved communication about HCM implementation within the company is recommended to enhance HCM understanding among employees.
Fentanyl Overdose Presented with Unconsciousness, Hypoxia, Hypotension and Pinpoint Pupil Complicated by Acute Kidney Injury and Right Hemiparesis: A Rare Case Report
Authors:   Professor and Head/ Senior Consultant Physician, Department of Medicine/ Department of Nephrology, Defence Services Medical Academy/ No. [1] Defence Services General Hospital (1000 Bedded)
Published: July 2023

A 25-years-old -male was found unconscious with empty fentanyl ampule; slow breathing with central cyanosis; SaO2 85% on air; blood pressure 90/50 mmHg, pulse rate 100/minutes; respiratory rate 12/minutes; central cyanosis; crackles in both lungs; multiple venipuncture marks in his left forearm and pinpoint pupil. He was treated as fentanyl overdose with intravenous naloxone, fluid therapy, ventilatory support and oxygenation. Right hemiparesis was noted on recovery; CT scan head showed multiple areas of infarction in basal ganglia and cerebral hemisphere. Acute kidney injury recovered with hemodialysis.
Does Trust Beneficiary Protection Affect the Performance of Trust Companies? An Analysis Based on the Theory of Law and Finance
Authors: Li Jinxian
Published: July 2023

Trust beneficiary protection constitutes an important legal system in the trust industry. This paper, based upon the study approach of the “Theory of Law and Finance”, establishes the trust beneficiary protection index of China. We also test the influence of trust beneficiary protection on the performance of trust companies. As indicated by our study’s results, an “inverted U-shaped” relationship exists between the degree of trust beneficiary protection and the performance of trust companies. In a period when the trust law system has not yet been well established, strengthening trust beneficiary protection could help facilitate the growth of trust company performance. However, this facilitation effect gradually diminishes as the trust law system becomes more perfect. This in turn means that, after reaching a certain peak, conferring the beneficiary with more rights of supervision and participation would cause the performance of trust companies to decline. Improving regional legal environments could also help facilitate the growth of trust company performance. In addition, this facilitation effect is subject to the influence of the nature of trust company controllers. In trust companies controlled by local state-owned capitals, we find that the facilitation effect of the improvement of regional legal environments on trust company performance is inhibited. In trust companies controlled by non-state-owned capitals, however, the facilitation effect of the improvement of regional legal environments on trust company performance is enhanced.
Penerapan Penilaian Portofolio untuk Menanamkan Motivasi Belajar Individu Peserta Didik
Authors: Magdalena Ina , Nurchayati Aan , Dewi Indria Kusuma
Published: July 2023

As educators do not only emphasize the cognitive domain, but also the psychomotor and affective domains by getting a balanced portion. A teacher plays an important and primary role for educational purposes. To instill student learning motivation, namely by using and giving direction and learning focus in understanding the benefits of motivation. This study discusses the application of portfolio assessment to instill individual student learning motivation. Portfolio assessment evaluation is divided into process portfolio and product portfolio. The background of this research problem is the lack of students' learning motivation. This research seeks to conduct a systematic review through review articles that are studied from various perspectives and includes qualitative research. The results of this research on the application of portfolio assessment are to instill individual student learning motivation by understanding portfolios, portfolio objectives, benefits of portfolio research, and portfolio research materials. Researchers hope that this research can make students active and foster students' learning motivation so that learning objectives can be achieved optimally.
Literature Review : Implementasi Model Pembelajaran PjBL guna Meningkatkan Keterampilan Berpikir Kreatif Peserta Didik pada Pembelajaran Biologi
Authors: Forendra Salsabilla , Selaras Ganda Hijrah
Published: July 2023

One of the higher thinking skills is creative thinking skills. Indonesia was ranked 74th out of 79 countries in the 2018 PISA results. These findings show the importance of developing one's creative thinking skills while studying. The aim of this article is to see how far PjBL can be applied to creative thinking. Utilizing digital libraries such as Google Scholar and Crossref, a prism-style Systematic Literature Review is the preferred approach. To obtain scientific articles about science learning in the biology sub-chapter published in 2018–2023, the Systematic Review is used to synthesize various relevant studies. The findings show that the PjBL model can improve science learning in the biology sub-sector by increasing critical thinking, communication, collaboration, creativity, and innovation (4C), as well as learning outcomes, communication, concepts and understanding.