‘Bulun in Winter Is So Sad’: A. Bogolepov about Everyday Life in Polar Yakutia, 1913–1916 by Lilia I. Vinokurova, Alexander A. Suleymanov, Svyatoslav I. Fedorov

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Eschatologia w pismach św. Faustyny by Józef Pochwat

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Ulmowie - świadkowie cywilizacji życia by Henryk Seweryniak

“…Kończy refleksją nad jeszcze jednym, chyba zbyt zapoznanym, wymiarem cywilizacji życia - krzewieniem nadziei na sąd ostateczny. …”
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Ateizm praktyczny czy a-teizm metodologiczny? Problem Boga w dziele Bycie i czas Martina Heideggera by Maciej Małyga

“…W trzecim punkcie zatrzymaliśmy się nad wydarzeniami, które krótko po publikacji Bycia i czasu mogły utrwalić sąd, że Heidegger to jednak filozof negujący Boga. …”
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THEOLOGY, INSECURITY AND NATIONAL INTEGRATION IN NIGERIA: CHALLENGES AND THE WAY FORWARD by U.N DURUJI

“…It is indeed very sad to note that insecurity has brazenly defied almost all the containment strategies and approaches put up by the government and well-meaning citizens of Nigeria in the recent times. …”
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Non-support from the immediate boss is associated with stress and unsafety at work by Fredrik Iredahl, Elvar Theodorsson, Mike Jones, Tomas Faresjö, Åshild Faresjö

“…The main findings were associations between lack of support and feelings of unsafety at work (p < 0.001), higher long-term cortisol levels (p < 0.009), lack of support from colleagues (p < 0.001), and feelings of dejected/sad (p < 0.001) and high work pace (p = 0.03).ConclusionIndividuals who did not have the necessary support from their immediate boss and colleagues reported they felt more insecure at work and had higher biological long-term stress. …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…In the experiments, four classes of human emotion are examined, such as neutral, happy, angry, and sad. The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…This research resulted in inaccuracy in sad emotions 58.33%, neutral emotions 50%, angry emotions 41.67%, happy emotions 8.33% and bored emotions could not be recognized. …”
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Sing A Song for Home: How Displaced Iranian Song-Writers in LA Conceive of Home and Homeland by Pouya Morshedi, Lisa-Jo K. van den Scott

“…Songs use home as a metaphor for the homeland, even when describing the body of the home. The sadness about the destroyed home, hope to return to home, and the tendency to come back to their mother (or motherland) point to the singers’ emotions about their homeland. …”
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CHALLENGES FOR UNIVERSITIES TO ONLINE TECHNOLOGIES IMPLEMENTATION IN THE CONDITIONS OF WAR IN UKRAINE by Yuliia Sytnykova, Tаtyana Petrenko, Oksana Bezkorovaina, Anastasiia Ptushka

“…The most common psychological difficulties with online learning were connected with external ones as constant shelling, and air alarms as with internal ones as stress, anxiety, worries, depression, burnout, sadness, and frustration. The technical difficulties were connected to blackouts, lack of Internet connection, power outages, evacuation, changes in living and working conditions, relocations, and the impossibility of using laboratory equipment. …”
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A Systemic Approach to Inceptive Constructions in Lithuanian by Rolandas Mikulskas

“…The fact that in some neutral contexts these verbs can, in their inceptive function, be used interchangeably, gives us empirical grounds to state that the corresponding inceptive constructions share the same schematic meaning. …”
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Health Behavior Study in Natural Disaster Vulnerability in Palu City (Case Study of Tondo Huntap, Palu City) by Arwan Arwan, Sadly Syam, Muhammad Zikra, Firmansyah Firmansyah, Muhammad Sabri Syahrir, Muhammad Aji Satria

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Pengaruh Tahapan Preprocessing Terhadap Model Indobert Dan Indobertweet Untuk Mendeteksi Emosi Pada Komentar Akun Berita Instagram by Ulfia Khairani, Viska Mutiawani, Hendri Ahmadian

“…This research categorizes four emotions, anger, happiness, fear and sadness, using pre-trained models IndoBERT and IndoBERTweet. …”
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