How we can work better to support employee mental health

Companies are increasingly investing in their employees’ mental health. In an environment of labour shortages, the losses caused by workers’ mental problems have made mental health a priority. Employers may not always succeed in addressing the problem, but individual employees have a role to play. Yolanda Blavo, Nikita and Daniel Jolles discuss how we can take charge of our mental well-being at work and help create a supportive environment for others

The three biggest workplace anxieties of 2023

The year 2023 has brought great anxieties to workers, with rising inflation and threats from artificial intelligence. What can leaders do to calm these anxieties and get the best out of their teams in 2024? Jazzy Jasiulek, Daniel Jolles, Nikita, and Grace Lordan asked over 1,400 professionals about their top anxieties and share how leaders can address them and create more resilient and productive teams in 2024

Perancangan Media Informasi Tentang Safari Poo Paper Bagi Pengunjung Bali Safari and Marine Park

Bali Safari and Marine Park, bagian dari Taman Safari Indonesia, berada pada baris depan perlindungan satwaliar di Indonesia dan berperan aktif dalam USAha penyelamatan satwa Indonesia dari kepunahan. Sebagai kebunbinatang terkemuka di Indonesia, Bali Safari and Marine Park memanfaatkan koleksi satwanya untuk berbagiilmu pada khalayak luas melalui program-program berbasis edukasi, konservasi, riset, dan rekreasi alam. Salahsatu program konservasi yang ada ialah pemanfaatan kotoran gajah untuk membuat kertas daur ulang yangdinamakan Safari Poo Paper. Semangat perlindungan alam yang diusung dalam kreasi inovatif ini seharusnyadapat menjadi pemicu bagi pengunjung untuk dapat lebih menghargai alam. Sayangnya, media informasi yangada pada area pabrik kertas daur ulang Safari Poo Paper kurang memiliki informasi yang lengkap. Melaluiperancangan ini, dibuatlah media informasi yang dapat memperbaiki kualitas media yang telah ada sehinggamampu tercipta suasana edukasi yang lebih kondusif pada area pabrik kertas daur ulang Safari Poo Paper.Perancangan media informasi ini menggunakan teknik potong secara manual dan gaya visualisasi berupa kartundengan komposisi warna utama yang memiliki kesan natural

MODELING THE MORTALITY TREND UNDER MODERN SOLVENCY REGIMES

Stochastic modeling of mortality/longevity risks is necessary for internal models of (re)insurers under the new solvency regimes, such as Solvency II and the Swiss Solvency Test. In this paper, we propose a mortality model which fulfills all requirements imposed by these regimes. We show how the model can be calibrated and applied to the simultaneous modeling of both mortality and longevity risk for several populations. The main contribution of this paper is a stochastic trend component which explicitly models changes in the long-term mortality trend assumption over time. This allows to quantify mortality and longevity risk over the one-year time horizon prescribed by the solvency regimes without relying on nested simulations. We illustrate the practical ability of our model by calculating solvency capital requirements for some example portfolios, and we compare these capital requirements with those from the Solvency II standard formul

Cross-Domain Generalization of Neural Constituency Parsers

Neural parsers obtain state-of-the-art results on benchmark treebanks for constituency parsing -- but to what degree do they generalize to other domains? We present three results about the generalization of neural parsers in a zero-shot setting: training on trees from one corpus and evaluating on out-of-domain corpora. First, neural and non-neural parsers generalize comparably to new domains. Second, incorporating pre-trained encoder representations into neural parsers substantially improves their performance across all domains, but does not give a larger relative improvement for out-of-domain treebanks. Finally, despite the rich input representations they learn, neural parsers still benefit from structured output prediction of output trees, yielding higher exact match accuracy and stronger generalization both to larger text spans and to out-of-domain corpora. We analyze generalization on English and Chinese corpora, and in the process obtain state-of-the-art parsing results for the Brown, Genia, and English Web treebanks.Comment: ACL 2019. DF and NK contributed equall

A Simple Nonlinearity-Tailored Probabilistic Shaping Distribution for Square QAM

A new probabilistic shaping distribution that outperforms Maxwell-Boltzmann is studied for the nonlinear fiber channel. Additional gains of 0.1 bit/symbol MI or 0.2 dB SNR for both DP-256QAM and DP-1024QAM are reported after 200 km nonlinear fiber transmission