cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/examiner-c44-87517
title: Art show (City Council Comments on Art Show), 1951

description: 4 images. Art show (City Council Comments on Art Show), 23 October 1951. "Crucifixion" (painting) in question; "Surge of the Sea" (painting in question).
DOI: 10.25549/examiner-c44-34173
title: Auto and truck crash at Riverside Drive, 1952.

description: 5 images. Auto and truck crash at Riverside Drive, 3 May 1952. Charles Sismondo, Fireman; 2 cocker spaniels. (Sleeve reads: A-9561).
DOI: 10.25549/examiner-c44-33179
title: Mayor's bombing hearing, 1952

description: 2 images. Mayor's bombing hearing, 25 March 1952. Loren Miller (National Association for the Advancement of Colored People); Mayor Fletcher Bowron; Doctor George Warmer.
DOI: 10.25549/examiner-c44-87188
title: Train versus auto at Victory Boulevard and Balboa Boulevard, 1951

description: 5 images. Train versus auto at Victory Boulevard and Balboa Boulevard, 17 October 1951. Bernard Warren (victim). (Sleeve reads: A-9348).; Caption slip reads: "Photographer: Glickman. Date: 1951-10-17. Reporter: Fisk. Assignment: Train vs. auto -- Victory & Balboa. 2 shots wrecked truck. 4 shots of Bernard Warren, victim at scene".
DOI: 10.25549/examiner-c44-33230
title: Hugh Herbert funeral (North Hollywood), 1952

description: 6 images. Hugh Herbert funeral (North Hollywood), 17 March 1952. Walter Catlett; John Hamilton; Roscoe Ates; Mrs. John Ince (widow of pioneer producer); Arthur Jasmine; Johnny Kascier (double for Hugh Herbert for 12 years).; Caption slip reads: "Photographer: Glickman. Date: 1952-03-17. Assignment: Hugh Herbert funeral, North Hollywood. 19-20, L to R: Old times gather: Walter Catlett; John Hamilton; Roscoe Ates. G-21: Mrs. John Ince (widow of pioneer film producer) & Arthur Jasmine, old time leading man chat. G-22: Overall view of funeral crowd. 35-36: Johnny Kascier, Hubert's double for past 12 years, tearfully watches hearse pull away from curb".
DOI: 10.25549/examiner-c44-33397
title: Loyola ... Air R.O.T.C., 1952

description: 5 images. Loyola ... Air Reserve Officers Training Corps., 25 March 1952. Colonel Leroy Brown (United States Air Force); Cadet Captain Louis Rossi; Cadet Captain Stanley Zaleski.
DOI: 10.25549/examiner-c44-87552
title: Old bellligerants street brawl, 1951

description: 4 images. Old bellligerants street brawl, 17 October 1951. Thomas A. "Blackie" Andrews -- 71 years; Arthur "Blackie" Shaw -- 70 years.; Supplementary material reads: "Gershon. City Desk. Illus. Old Belligerants. Two shots of Thomas 'Blackie' Andrews, 71, of 625 South Beacon Street, San Pedro, shown with broken arm in sling. He received break as result of altercation Arthur 'Blackie' Shaw, 70, of 255 West Seventh Street, San Pedro, in street brawl over who had priority to nickname 'Blackie'. Two shots of Arthur 'Blackie' Shaw, 70, in San Pedro jail. He said opponent had never been known as 'Blackie' until several years ago but only as 'Tommy'".
DOI: 10.25549/examiner-c44-33255
title: Hutton wedding, 1952

description: 9 images. Hutton wedding, 18 March 1952. Betty Hutton; Charles O'Curran.
DOI: 10.25549/examiner-c44-33241
title: Flower show, 1952

description: 4 images. Flower show, 22 March 1952. Ginger Tibbett (Queen of California International Flower Show); Leilani Papadol (Poland); Bud Grotzinger (Czechoslovakia); Ruth Garber (Switzerland); Lorraine Herbst.
DOI: 10.6084/m9.figshare.26981891.v1
title: Additional file 8 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 8: Table S7. Goodness of fit for four types of regression models corresponding to the indoor and outdoor abundance of Cx. quinquefasciatus, with Akaike information criterion (AIC) and Bayesian information criterion (BIC) values shown as an estimate of model predictive performance. NBH, Negative binomial hurdle; PH, Poisson hurdle; ZIP, zero-inflated Poisson; ZINB, zero-inflated negative binomial.
DOI: 10.6084/m9.figshare.26981894
title: Additional file 9 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 9: Table S8. Effects of variables retained in the eight final models on the Odds Rate Ratio (ORR) of the mosquito’s abundance for: Cx. antennatus, Cx. quinquefasciatus, Cx. poicilipes and An. gambiae s.l. with 95% confidence interval. MI: moon illumination, Tpw: 1–12 weeks lag for temperature; Tpm: one to three months lag for temperature; Rhw: 1–12 weeks lag for relative humidity; Rhm: 1–3 months lag for relative humidity; Prew: 1–12 weeks lag for precipitation; Prem: 1–3 months lag for precipitation. NBH: negative binomial hurdle, NB: negative binomial.
DOI: 10.6084/m9.figshare.26981870
title: Additional file 2 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 2: Table S2. Estimated species richness and diversity of mosquito communities collected in six distinct trap locations habitats in Mahabo farm, Andoharanofotsy, Madagascar, during 16 months.
DOI: 10.6084/m9.figshare.26981885.v1
title: Additional file 6 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 6: Table S5. Variance inflation factors and tolerance values calculated with the “check_collinearity()” function from performance” package.
DOI: 10.6084/m9.figshare.26981888.v1
title: Additional file 7 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 7: Table S6. Evaluation of the presence of overdispersion and zero inflation in Poisson and negative binomial GLMs. Asterisks indicate *P-value &lt; 0.05, ** P-value &lt; 0.01 and ***P-value &lt; 0.001.
DOI: 10.6084/m9.figshare.26981888
title: Additional file 7 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 7: Table S6. Evaluation of the presence of overdispersion and zero inflation in Poisson and negative binomial GLMs. Asterisks indicate *P-value &lt; 0.05, ** P-value &lt; 0.01 and ***P-value &lt; 0.001.
DOI: 10.6084/m9.figshare.26981894.v1
title: Additional file 9 of Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

description: Additional file 9: Table S8. Effects of variables retained in the eight final models on the Odds Rate Ratio (ORR) of the mosquito’s abundance for: Cx. antennatus, Cx. quinquefasciatus, Cx. poicilipes and An. gambiae s.l. with 95% confidence interval. MI: moon illumination, Tpw: 1–12 weeks lag for temperature; Tpm: one to three months lag for temperature; Rhw: 1–12 weeks lag for relative humidity; Rhm: 1–3 months lag for relative humidity; Prew: 1–12 weeks lag for precipitation; Prem: 1–3 months lag for precipitation. NBH: negative binomial hurdle, NB: negative binomial.
DOI: 10.6084/m9.figshare.26981927
title: Additional file 4 of Functional outcome of the anterior vaginal wall in a pelvic surgery injury rat model after treatment with stem cell-derived progenitors of smooth muscle cells

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26981930
title: Additional file 5 of Functional outcome of the anterior vaginal wall in a pelvic surgery injury rat model after treatment with stem cell-derived progenitors of smooth muscle cells

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26981930.v1
title: Additional file 5 of Functional outcome of the anterior vaginal wall in a pelvic surgery injury rat model after treatment with stem cell-derived progenitors of smooth muscle cells

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.26981919.v1
title: Additional file 2 of Characterization of spatiotemporal and kinetic gait variables in dogs with hindlimb ataxia and bilateral hindlimb lameness

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26981933.v1
title: Additional file 6 of Functional outcome of the anterior vaginal wall in a pelvic surgery injury rat model after treatment with stem cell-derived progenitors of smooth muscle cells

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.26981943
title: Additional file 2 of FgCWM1 modulates TaNDUFA9 to inhibit SA synthesis and reduce FHB resistance in wheat

description: Additional file 2: Table S1-S2. Table S1. Potential interaction sequences were obtained by screening wheat yeast libraries. Table S2. Primers used in this study.
DOI: 10.6084/m9.figshare.26981919
title: Additional file 2 of Characterization of spatiotemporal and kinetic gait variables in dogs with hindlimb ataxia and bilateral hindlimb lameness

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26981946
title: Additional file 3 of FgCWM1 modulates TaNDUFA9 to inhibit SA synthesis and reduce FHB resistance in wheat

description: Additional file 3: Supporting data values file.
DOI: 10.6084/m9.figshare.26981943.v1
title: Additional file 2 of FgCWM1 modulates TaNDUFA9 to inhibit SA synthesis and reduce FHB resistance in wheat

description: Additional file 2: Table S1-S2. Table S1. Potential interaction sequences were obtained by screening wheat yeast libraries. Table S2. Primers used in this study.
DOI: 10.6084/m9.figshare.26981946.v1
title: Additional file 3 of FgCWM1 modulates TaNDUFA9 to inhibit SA synthesis and reduce FHB resistance in wheat

description: Additional file 3: Supporting data values file.
DOI: 10.6084/m9.figshare.26981949.v1
title: Additional file 1 of Preventing illegal seafood trade using machine-learning assisted microbiome analysis

description: Additional file 1: Table S1. Precision, recall, f1-score and support obtained in gills (GI) and digestive gland (DG) obtained in comparing Porto Marghera versus Chioggia (PM vs CL), Porto MArghera  versus Scardovari (PM vs SC), farmin sites. Feature importance in gills and digestive are also reported.
DOI: 10.6084/m9.figshare.26981949
title: Additional file 1 of Preventing illegal seafood trade using machine-learning assisted microbiome analysis

description: Additional file 1: Table S1. Precision, recall, f1-score and support obtained in gills (GI) and digestive gland (DG) obtained in comparing Porto Marghera versus Chioggia (PM vs CL), Porto MArghera  versus Scardovari (PM vs SC), farmin sites. Feature importance in gills and digestive are also reported.
DOI: 10.6084/m9.figshare.26982071.v1
title: Additional file 6 of Genomic diversity and population structure of Carniolan honey bee in its native habitat

description: Supplementary Material 6.
DOI: 10.6084/m9.figshare.26982056.v1
title: Additional file 1 of Genomic diversity and population structure of Carniolan honey bee in its native habitat

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26982056
title: Additional file 1 of Genomic diversity and population structure of Carniolan honey bee in its native habitat

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26982071
title: Additional file 6 of Genomic diversity and population structure of Carniolan honey bee in its native habitat

description: Supplementary Material 6.
DOI: 10.14457/tu.the.2023.565
title: Application of (s, S) inventory policy with backlog: a case study of chemical products

description: This research paper examines inventory optimization using the (s, S) backlog policy for chemical products in a company. The products were examimed under the condition of uncertain and fluctuating demand and lead time. The research presents a simulation utilizing Excel spreadsheets to optimize inventory levels by evaluating total annual costs based on sample demand and lead time data that were collected from historical data. The methodology involves multiple Excel sheets. The first generatessample demand and lead times using Excel functions; the second contains simulationparameters including review period, reorder points (s), order up to level (S), and unlimited warehouse capacity, along with cost components. The simulation applys a golden section search (GSS) method to search for the optimal values for s and S. The study examines two chemical products under different conditions: one with a fastmoving product with a short lead time, and another with a slow-moving product with longer and more variable lead time. The findings aim to identify optimal inventory levels, which is reorder points (s), order up to level (S), that minimize total annual cost. This is to enhance inventory management and cost savings. Through this detailed simulation approach, the research studies on inventory optimization under uncertainty, offering practical solutions for real world inventory management challenges.
DOI: 10.14457/tu.the.2023.566
title: Analysis on retail sales data

description: Retail stores are commonly visited by people, as they have products that we use or consume daily in life. Unfortunately, some retail businesses have faced challenges in retaining customers and eventually went out of business, while some businesses are still striving. There are quite a few factors that retail store owners must focus on. To survive in the real-world situation, retailers will need to strategize knowledge to compete in the retail business sector. I have collected a 2-year data and analyzed them by utilizing warehouse profiling to identify their strength. Retail stores, regardless of size, can strengthen their businesses by implementing the information obtained from this analysis.
DOI: 10.14457/tu.the.2023.567
title: A comparative study of time series forecasting: traditional approaches vs. machine learning methods

description: This study aims to compares traditional time series forecasting methods with machine learning techniques using Super Store sales data from 2011 to 2014, focusing on the technology category and its accessories subcategory, which are organized into 52-week intervals over four years. With a total of 208 weeks, the study seeks to forecast sales for the next 4 weeks. The study aims to provide insights into the relative strengths and limitations of traditional methods in comparison to machine learning methods. Performance metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Deviation (MAD) will be used to evaluate forecasting accuracy. By evaluating these metrics, this study hopes to help retail businesses improve forecasting methodologies for greater predictive accuracy and more informed operational strategies.
DOI: 10.14457/tu.the.2023.568
title: A comparative analysis of statistical and machine learning methods for predicting demand in engine oil retailer

description: Demand prediction plays a crucial role in supply chain management, aiming to enhance accuracy and reliability for optimal operations. This study evaluates various models for forecasting demand in engine oil retail, including traditional statistical methods like Moving Average (MA), Double Moving Average (DMA), Time Series Decomposition (TSD), and Holt-Winters, alongside advanced machine learning techniques such as Artificial Neural Networks (ANN) and Hybrid models. Each model undergoes optimization through techniques like hyperparameter tuning and feature selection. Performance metrics such as Mean Absolute Error (MAE) and Accuracy are utilized to assess their effectiveness in predicting demand patterns.The study focuses on forecasting future demand using ANN and Hybrid model, comparing their performance with traditional methods to determine the most effective approach. The findings highlight the advantages of machine learning over traditional statistical model in capturing complex demand and optimizing supply chain operations.
DOI: 10.14457/tu.the.2023.570
title: Designing a facade by biomimicry science to effectively control an atmosphere in buildings (natural light issue)

description: Modern architectural designs often favor the use of transparent materials such as glass panels for their aesthetic appeal, but this can lead to an overabundance of sunlight infiltrating interior spaces, potentially diminishing office workers' productivity. This thesis develops and evaluates biomimicry-inspired kinetic facades to optimize natural light, enhance indoor lighting, and improve occupants' comfort. Drawing inspiration from DNA structures, the Eshelby twist, and phototropism, the study investigates facade forms and movements, assessing performance metrics such as Daylight Factor (DF), glare, LEED v4.1 compliance, visual quality, circadian lighting, and human circulation. The research employed tools such as Rhino, Grasshopper, Wallacei, PedSim, and Climate Studio to develop and test various facades, with a particular focus on a kinetic facade featuring a twisting movement. This design dynamically adapts to environmental conditions, optimizing natural light and minimizing glare. Key findings indicate that optimizing twist angles up to 100° significantly enhances sunlight regulation. The kinetic facades (version 2: twisting movement) outperform static and glass facades in light distribution, glare control, visual quality, user satisfaction, circadian lighting, and human circulation, surpassing the rotating-movement design (version 1). The kinetic facades (version 2) also encourage users to choose workspaces near windows, as shown by human circulation patterns. Real-world tests confirm the efficacy of the kinetic facades (version 2), reducing excessive light exposure and complying with LEED standards. Integrating biomimicry principles into facade design offers adaptive, efficient, and sustainable building solutions. Future research should explore advanced computational techniques, material innovations, smart building integration, extended testing, and energy efficiency improvements. This work sets a new standard for architectural innovation, promoting healthier and more efficient spaces.
DOI: 10.5281/zenodo.13148652
title: Conservation of animal genome structure is the exception not the rule

description: Species from diverse animal lineages, including molluscs, annelids, echinoderms, hemichordates, and cephalochordates, have retained groups of orthologous genes on the same chromosomes for over half a billion years since the last common ancestor of bilaterians. Though there are notable exceptions, it has been proposed that the conservation of chromosome-scale gene linkages is the norm among animals. Here, by examining interchromosomal rearrangements in 64 chromosome-level genomes across 15 bilaterian phyla and at least 52 classes, we show that, though striking, cases of genome structure conservation are exceptionally rare. The ubiquity of massive genome rearrangements suggests that, in general, chromosome-scale gene linkages are of minimal importance to animal genome function.

This project contains gene models for 14 genome assemblies annotated in this study, with files provided for coding sequences (.fasta), protein sequences (.faa), and gene annotations in GTF format (*.gtf), as listed below:

- Amphiscolops sp. MND2022 (acoel worm; phylum Xenacoelomorpha)- Antedon bifida (crinoid; phylum Echinodermata)- Carcinoscorpius rotundicauda (horseshoe crab; phylum Arthropoda)- Convolutriloba macropyga (acoel worm; phylum Xenacoelomorpha)- Emplectonema gracile (ribbon worm; phylum Nemertea)- Gordius sp. MW1 (horsehair worm; phylum Nematomorpha)- Hypsibius dujardini (water bear; phylum Tardigrada)- Ophiura sarsii (brittle star; phylum Echinodermata)- Schizocardium californicum (acorn worm, phylum Hemichordata)- Schmidtea mediterranea (planarian; phylum Platyhelminthes)- Strigamia acuminata (centipede; phylum Arthropoda)- Styela plicata (tunicate; phylum Chordata)- Trichinella spiralis (nematode; phylum Nematoda)- Trididemnum miniatum (tunicate; phylum Chordata)
DOI: 10.14457/tu.the.2023.573
title: IoT system for inventory monitoring in a production line

description: In today's digital era, industries confront the intricate task of proficiently monitoring and regulating Work-In-Process inventory. Given the rapid technological advancements and the escalating demand for instantaneous data access and connectivity, addressing this issue is paramount. This study aims to capitalize on the potential of the Internet of Things to mitigate these challenges. The research investigates methods that employ Internet of Things to augment the surveillance and oversight of Work-In-Process within the manufacturing process. Through the integration of sensors on the production line, it becomes feasible not only to track products seamlessly but also to monitor the performance and efficacy of machinery. This immediate access to data serves as a mechanism to detect discrepancies in Work In-Process quantities, be it excessive or insufficient. The real-time information procured from the Internet of Things acts as a deterrent against potential production setbacks or delays, playing an instrumental role in maintaining product quality and cost efficiency. Furthermore, bi-directional real-time communication, facilitated by platforms such as LINE and Google Sheet, offers enhanced efficiency, enabling expedited responses to machinery data and refining decision-making processes. Data harvested from Internet of Things can be analyzed to identify production patterns, thus assisting in informed decision-making and streamlining manufacturing processes. In summation, this research provides an exhaustive exploration into the pivotal role of IoT in revolutionizing WIP management within the manufacturing domain.
DOI: 10.14457/tu.the.2023.574
title: Warehouse design and data analysis using retail sales data

description: This paper explores the use of retail sales data to design and optimize warehouse layouts. Several analyses have been performed, including generating visualizations. The visual displays provide insights into complex data in a way that is more intuitive and easier to understand. This paper discusses how this data is used to categorize products based on movement characteristics and allocate appropriate storage space within the warehouse layout. With the analyzed results, a suitable warehouse management system has been selected, and the appropriate warehouse design has been proposed, including the rack and space requirement calculations.
DOI: 10.14457/tu.the.2023.575
title: Fuzzy multiple objective linear programming for transportation mode and storage mode selection in fruit value chain: a case study of Mayongchid

description: In the present, the agriculture and food industry is expanding, both in domestic and international markets. Therefore, food distribution in the supply chain necessitates cold chain logistics to preserve the value of the products to the fullest extent. This has increased awareness of the costs and losses incurred during transportation. Agricultural products are particularly susceptible to damage and spoilage. This study focuses on network design strategies and provides a model for effectively optimizing the cold chain for fruits while minimizing carbon emissions.
DOI: 10.14457/tu.the.2023.576
title: Develop a capacitated vehicle routing model with time windows for cold chain logistics using OpenSolver

description: Cold Chain Logistics (CCL) is a critical aspect of supply chain management for industries that handle temperature-sensitive products, especially aquatic products. However, challenges related to transportation cost, cluster infrastructure, and temperature control requirements must be addressed. This study developed a customized CVRPTW model to improve distribution network efficiency and minimize the cost by using OpenSolver. The model was evaluated using real-world data from a Thai cold chain logistics company. The results demonstrated that the model significantly reduced total costs, the number of trucks required, and routing for each truck. These findings highlight the potential of VRP models to optimize cold chain logistics.